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The enterprise AI market is entering a phase where implementation matters as much as experimentation. Companies are looking beyond model capabilities toward technologies that can connect AI to existing systems, manage its use, interpret information and turn it into practical business workflows.

The San Francisco Tribune reveals list of top startups working across those areas ahead of HumanX Amsterdam, which runs September 22–24 at RAI Amsterdam. The event will bring together more than 2,500 attendees, with startups, investors, enterprise buyers and technology leaders represented and 60% of attendees at VP level or above.

Making AI More Dependable

For many organizations, the challenge is not simply adopting AI but making it dependable enough for real operations.

causaLens is focused directly on this issue through Digital Knowledge Workers built with multi-agent architectures. Its platform includes pre-built Blueprints, a Factory for customized workers and the System of Work governance layer. The company emphasizes causal reasoning, human-in-the-loop controls, automated evaluation, monitoring and self-healing.

Trendium approaches enterprise adoption from the governance side. Its ContextGuard platform is designed to provide visibility and control over AI infrastructure, while its AI Enablement Program helps engineering teams adopt AI coding agents responsibly. Its framework is organized around visibility, control, enablement and compliance.

Connecting AI to Existing Information

Another challenge is giving AI access to information that businesses already depend on.

Unfold is developing technology for closed, undocumented and vendor-locked systems. The company says its approach can make these systems readable without an API, documentation or vendor involvement. Operating within the customer environment, it uses read-only access by default and provides full auditing.

Kensho Technologies takes a data-focused approach. Operating as S&P Global’s innovation engine, it combines AI and engineering with financial and business information. Its technology connects AI applications, agents and large language models to trusted S&P Global data while structuring proprietary information for machine learning and generative AI workflows.

From Speech to Specialized Discovery

The AI opportunity is also expanding into specialized forms of information processing.

AssemblyAI provides infrastructure for applications that rely on spoken language, with APIs supporting speech-to-text, contextual understanding and real-time agentic workflows. Speechmatics focuses on multilingual speech recognition, supporting more than 55 languages and multiple deployment environments. Its applications include healthcare, legal transcription, contact centers, meeting platforms, live captioning and AI voice agents.

Otter AI is approaching workplace conversations as a source of organizational knowledge. Its platform captures and transcribes meetings, identifies decisions and action items, and allows users to search and query accumulated meeting information. It also supports follow-ups and connections with workflows such as CRM systems.

Nuritas is applying AI to an entirely different information challenge: identifying useful peptides from nature. Through its Nuritas Magnifier platform, the company says it has identified more than 8 million peptides and built a library of peptides with known functionalities, with the goal of taking discoveries from computational prediction through clinical validation.

AI Meets Visual Commerce

PhotoRoom represents another direction for applied AI, using its technology to support visual production for e-commerce. The platform serves individual sellers as well as large enterprises managing millions of product images, offering batch editing, automated quality assurance, brand controls and integrations with PIM, DAM and other commerce systems.

The common thread across these companies is not a single AI application. It is the infrastructure surrounding AI: how systems access information, how organizations control deployments, how conversations become usable knowledge and how AI-generated outputs fit into existing workflows.

The Practical Side of AI Adoption

HumanX Amsterdam offers a snapshot of that broader transition. The companies highlighted for the event are working across different industries and technical layers, but their focus increasingly sits on the practical conditions required for AI to deliver value.

As enterprise adoption expands, those conditions are becoming an increasingly important part of the technology conversation.

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Speeding Up Data Processing and Pattern Recognition 

What exactly does artificial intelligence do for metrology? Its biggest strength is processing speed and pattern recognition. When an optical scanner captures millions of data points on a factory floor, traditional software might take several minutes to process that information. Modern algorithms can crunch that point cloud almost instantly, comparing the scanned part to the original computer-aided design model. They easily spot trends over time, like predicting when a cutting tool is starting to wear down because the parts are slowly drifting out of tolerance. This predictive capability saves companies money and reduces scrap material. AI also helps filter out environmental noise from scans, smoothing out the data so inspectors can see a clearer picture of the manufactured part. It handles the tedious, repetitive tasks of data analysis, freeing up quality control professionals to focus on solving complex engineering problems rather than staring at spreadsheets all day.

The Dangers of Relying on Predictions Over Reality 

Despite these impressive capabilities, we have to remember what artificial intelligence actually is. It's essentially an advanced prediction engine. It doesn't physically touch the object, and it doesn't experience the real world. If a camera lens has a smudge or if the lighting in the factory changes, a vision-based AI system might misinterpret a shadow as a defect. Or worse, it might ignore a real defect because the lighting hid it. Software relies entirely on the raw data collected by sensors and probes. If that initial data isn't perfectly accurate, the algorithm's output will be flawed. You can have the smartest network available, but if the physical sensor isn't calibrated correctly, the system will confidently give you the wrong answer. You can't code your way out of poor physical measurement. The ground truth always comes back to the physical interaction between a calibrated probe and the surface of the part. If you trust a digital estimation over a physical measurement, you are playing fast and loose with your quality control standards.

Why Guessing Fails in High-Stakes Manufacturing 

One of the most concerning aspects of leaning too hard on algorithms for measurement is how they handle missing information. When a non-contact scanner misses a spot on a shiny or complex surface, the software often steps in to fill the gap. It looks at the surrounding data points and essentially guesses what that missing surface looks like. For a basic visual model, this interpolation works fine, but in precision engineering, a guess is a serious liability. If you manufacture parts for airplanes or medical implants, a fraction of a millimeter means the difference between success and catastrophic failure. You can't rely on a computer guessing the depth of a bore hole or the exact angle of a valve seat. Physical measurement tools touch the actual surface, providing concrete, undeniable data rather than a statistically probable estimation. In high-stakes manufacturing, certainty will always trump probability. You need to know without a shadow of a doubt that the component meets the engineering specifications, and the only way to achieve that level of confidence is through direct, physical verification.

Navigating Complex Geometries and Hidden Features 

Another area where artificial intelligence falls short is physical accessibility. Cameras and lasers operate on a line of sight. If a sensor can't see a feature, the software can't analyze it. Modern manufactured parts often feature incredibly complex internal geometries, deep intersecting holes, and hidden undercuts. You simply can't measure what you can't see. Tactile probes physically reach into these tight spaces, mapping out the internal dimensions with physical certainty. While software can help stitch together different scans or optimize the path the probe takes, it can't physically maneuver into a dark cavity to verify a tight tolerance. The physical world contains obstacles that lines of code simply can't navigate without the help of precision mechanics and physical hardware.

Managing Environmental Variables in Real Time 

Real-world measurement also involves managing physical variables like thermal expansion and material deflection. An algorithm doesn't feel the temperature drop on a factory floor, which might cause a metal component to shrink by a few microns. Physical coordinate measuring tools account for these physical realities, often using temperature sensors and specialized materials to maintain accuracy regardless of the environment. Software can apply compensation formulas, but it still relies on accurate real-time physical inputs to make those adjustments. If the initial physical data is skewed by temperature changes and the sensor doesn't catch it, the AI will process that flawed data as if it were perfect, leading to accepted parts that should have been rejected.

Embracing the Best of Both Worlds 

We are entering a fascinating era for manufacturing and quality assurance. Artificial intelligence brings undeniable benefits to the table, making data analysis faster, smarter, and more predictive. It helps teams spot trends before they become expensive problems and streamlines the entire inspection workflow, but we shouldn't confuse data processing with data creation. The foundation of metrology is, and always will be, rooted in the physical world. Taking a proper measurement requires calibrated hardware, environmental control, and direct interaction with the part being inspected. Algorithms make excellent assistants, but they make terrible substitutes for physical reality. By combining the processing power of modern software with the undeniable accuracy of physical measurement tools, manufacturers achieve the best of both worlds. They get the speed of the future without sacrificing the concrete reliability that keeps our world running safely.

The early morning hours, roughly between 6:00 AM and 9:00 AM, belong almost entirely to text messaging. Very few people want their phone ringing while they're drinking their first cup of coffee or stumbling through their morning routine. An incoming phone call early in the morning usually signals an emergency, which is why most of us instinctively avoid dialing anyone before standard business hours begin. Texting during this early window, however, is widespread. It acts as a gentle, low-pressure way to say good morning, coordinate carpools, or double-check the day's schedule. Because text messages sit quietly in a notification shade until the recipient's ready to read them, they don't interrupt morning rituals. As the clock approaches 10:00 AM, the shift toward voice calls begins. By mid-morning, people have arrived at work or settled into their daily tasks. Between 10:00 AM and 11:30 AM, phone call volume hits its first notable surge of the day. This is the prime window for business calls, doctor's appointments, and important check-ins that require immediate answers. People have cleared their initial morning inbox and are ready to tackle active conversations.

Around noon, phone habits shift again. Lunch hours, typically spanning 12:00 PM to 1:30 PM, bring a notable spike in personal text messages. Employees stepping away from their desks use this break to catch up on group chats, respond to family members, or scroll through messages they missed during morning meetings. Phone calls drop off slightly during lunch, as few people want to spend their break navigating a noisy environment or talking over a meal. The afternoon push from 2:00 PM to 5:00 PM brings an interesting split in behavior. Work-related phone calls remain high until around 4:00 PM, as people try to close out deals, resolve pressing issues, or finish project updates before the workday ends. However, as 5:00 PM approaches, personal calls begin to pick up. The evening commute, between 4:30 PM and 6:00 PM, is one of the most popular times for casual phone conversations. Drivers trapped in traffic or commuters riding the train often use hands-free devices to catch up with parents, spouses, or friends to unwind after a long day.

Once 6:00 PM rolls around, work-related calls vanish for most people, replaced by a surge in personal communication that lasts until roughly 9:00 PM. This evening block represents the highest volume of text messaging out of the entire 24-hour cycle. During these hours, people are relaxing at home, preparing dinner, or watching television. Texting thrives here because it seamlessly integrates with leisure activities. You can exchange dozens of texts with friends about weekend plans while simultaneously cooking or watching a movie. Family group chats come alive during the evening, filling up with photos, jokes, and updates from the day. At the same time, the hours between 7:00 PM and 8:30 PM are favored for longer, meaningful phone calls with family members or close friends who live far away. Unlike quick daytime business calls, these evening phone conversations tend to last much longer, as both parties finally have the free time to sit down and talk without checking the clock.

After 9:00 PM, phone activity begins a steady decline. Calling someone after 9:00 PM isn't considered polite unless you've specifically agreed on a late-night chat ahead of time. A ringing phone late at night creates unnecessary anxiety, as people immediately assume something's gone wrong. Texting continues late into the night, particularly among younger demographics, but even text volume tapers off by midnight. Silent modes, Do Not Disturb settings, and sleep schedules naturally bring mobile activity to a near standstill until the sun comes back up.

Ultimately, the choice between placing a call and sending a text comes down to urgency and emotional depth. Text messaging dominates the overall volume of daily phone use simply because it's asynchronous—it allows people to communicate on their own schedule without demanding immediate attention. That's why texting stays steady throughout the entire day, peaking during leisure hours. Voice calls, on the other hand, are reserved for specific windows where real-time clarity matters most. We call during mid-morning business hours to get work done, and we call in the early evening to build personal connections. Understanding these natural daily waves makes it much easier to reach people when they're actually ready to talk.

The early morning hours, roughly between 6:00 AM and 9:00 AM, belong almost entirely to text messaging. Very few people want their phone ringing while they're drinking their first cup of coffee or stumbling through their morning routine. An incoming phone call early in the morning usually signals an emergency, which is why most of us instinctively avoid dialing anyone before standard business hours begin. Texting during this early window, however, is widespread. It acts as a gentle, low-pressure way to say good morning, coordinate carpools, or double-check the day's schedule. Because text messages sit quietly in a notification shade until the recipient's ready to read them, they don't interrupt morning rituals. As the clock approaches 10:00 AM, the shift toward voice calls begins. By mid-morning, people have arrived at work or settled into their daily tasks. Between 10:00 AM and 11:30 AM, phone call volume hits its first notable surge of the day. This is the prime window for business calls, doctor's appointments, and important check-ins that require immediate answers. People have cleared their initial morning inbox and are ready to tackle active conversations.

Around noon, phone habits shift again. Lunch hours, typically spanning 12:00 PM to 1:30 PM, bring a notable spike in personal text messages. Employees stepping away from their desks use this break to catch up on group chats, respond to family members, or scroll through messages they missed during morning meetings. Phone calls drop off slightly during lunch, as few people want to spend their break navigating a noisy environment or talking over a meal. The afternoon push from 2:00 PM to 5:00 PM brings an interesting split in behavior. Work-related phone calls remain high until around 4:00 PM, as people try to close out deals, resolve pressing issues, or finish project updates before the workday ends. However, as 5:00 PM approaches, personal calls begin to pick up. The evening commute, between 4:30 PM and 6:00 PM, is one of the most popular times for casual phone conversations. Drivers trapped in traffic or commuters riding the train often use hands-free devices to catch up with parents, spouses, or friends to unwind after a long day.

Once 6:00 PM rolls around, work-related calls vanish for most people, replaced by a surge in personal communication that lasts until roughly 9:00 PM. This evening block represents the highest volume of text messaging out of the entire 24-hour cycle. During these hours, people are relaxing at home, preparing dinner, or watching television. Texting thrives here because it seamlessly integrates with leisure activities. You can exchange dozens of texts with friends about weekend plans while simultaneously cooking or watching a movie. Family group chats come alive during the evening, filling up with photos, jokes, and updates from the day. At the same time, the hours between 7:00 PM and 8:30 PM are favored for longer, meaningful phone calls with family members or close friends who live far away. Unlike quick daytime business calls, these evening phone conversations tend to last much longer, as both parties finally have the free time to sit down and talk without checking the clock.

After 9:00 PM, phone activity begins a steady decline. Calling someone after 9:00 PM isn't considered polite unless you've specifically agreed on a late-night chat ahead of time. A ringing phone late at night creates unnecessary anxiety, as people immediately assume something's gone wrong. Texting continues late into the night, particularly among younger demographics, but even text volume tapers off by midnight. Silent modes, Do Not Disturb settings, and sleep schedules naturally bring mobile activity to a near standstill until the sun comes back up.

Ultimately, the choice between placing a call and sending a text comes down to urgency and emotional depth. Text messaging dominates the overall volume of daily phone use simply because it's asynchronous—it allows people to communicate on their own schedule without demanding immediate attention. That's why texting stays steady throughout the entire day, peaking during leisure hours. Voice calls, on the other hand, are reserved for specific windows where real-time clarity matters most. We call during mid-morning business hours to get work done, and we call in the early evening to build personal connections. Understanding these natural daily waves makes it much easier to reach people when they're actually ready to talk.

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For years, cybersecurity leaders have faced a frustrating equation: the number of systems that need to be protected keeps growing, while the number of people available to protect them does not. Artificial intelligence could change that equation by giving security teams access to capabilities that previously required armies of specialized analysts.

OpenAI is now calling on the industry to move quickly in that direction. Its new open letter, “A Call to Action on Cyber Defense,” has attracted first-day support from Palo Alto Networks, Mate Security, and ServiceNow, placing the three companies among a select group of cybersecurity market leaders backing the initiative.

The timing is significant. As AI models become more capable, cybersecurity is becoming a race not simply to develop better detection technology, but to determine which side can deploy intelligent systems at greater scale.

The Cost Of Staying Secure

Security teams have never operated in a perfectly maintained environment. Organizations routinely carry outdated systems, unpatched vulnerabilities, excessive privileges and years of accumulated technical debt.

Addressing those problems manually can be expensive and slow. OpenAI argues that the arrival of increasingly capable AI creates an opportunity to change the economics of that work.

“We have a limited window to strengthen cyber defenses,” the letter states.

The company argues that cyber-capable AI can make security tasks faster and more accessible, potentially allowing smaller teams to cover significantly larger environments.

That matters particularly for critical infrastructure, where security budgets and staffing levels can be constrained even though the consequences of an incident can be severe.

From More Tools To More Capacity

OpenAI’s proposal is notable because it focuses on defensive capacity rather than simply adding another security product to an already crowded market.

The company calls on cybersecurity vendors to strengthen existing tools with AI, continuously test defenses against advanced cyber capabilities and provide hands-on assistance to organizations that may struggle to deploy sophisticated technology on their own.

The objective is essentially to make the work of a security team scale.

If AI can investigate vulnerabilities, analyze threats, validate remediation and support incident response, organizations could potentially increase their defensive coverage without increasing headcount at the same rate.

That is one reason the emergence of agentic cybersecurity companies is attracting attention.

Mate Security’s Different Proposition

Mate Security is approaching the problem by building an open foundation for agentic cyber defense.

Rather than focusing exclusively on AI-assisted analysis, Mate is developing systems in which AI agents can participate directly in investigations. Its Gamebooks technology provides structured investigation procedures while allowing agents to reason, pivot and act as an investigation unfolds.

The distinction is important from an economic perspective. An AI system that simply summarizes an alert may save an analyst minutes. An agent capable of conducting substantial portions of an investigation could potentially change how an entire security operation is staffed and organized.

That does not eliminate the need for human expertise. Instead, it potentially allows security professionals to spend more time on the highest-value decisions while AI handles larger amounts of repetitive or investigative work.

The Established Players Are Moving Too

The participation of Palo Alto Networks and ServiceNow shows that this shift is not confined to startups.

Both are established market leaders operating the large-scale platforms that organizations already rely on, and their support for the initiative underscores the extent to which AI is becoming integrated into the broader enterprise market.

They also address different parts of the capacity problem. Palo Alto Networks operates across the security controls and telemetry that enterprises depend on for detection and enforcement. ServiceNow operates in the enterprise workflows where remediation is assigned, tracked and verified, which is often where the cost of security work accumulates.

That second point matters to the economics. Faster investigation produces limited savings if the resulting fixes still move at the pace of manual coordination, and OpenAI’s letter asks organizations to measure progress by whether attacks are contained quickly and whether fixes actually work.

Mate Security represents a newer architectural direction, while Palo Alto Networks and ServiceNow illustrate the ability of established platforms to bring AI capabilities into existing enterprise environments.

Together, their participation points toward a market in which AI may increasingly become a baseline component of cyber defense.

The Race For Scale

OpenAI’s letter ultimately argues that defenders need to act before AI-enabled attacks become more sophisticated.

“Sharing tools, practical knowledge, and verified fixes lets one organization’s work help protect many others,” the company says.

That principle could become particularly important as organizations search for ways to improve security without simply increasing spending indefinitely.

The cybersecurity industry’s AI race may therefore be measured in a different way than previous technology cycles. The winners may not necessarily be the companies with the most advanced AI demonstrations, but those that can turn AI into reliable defensive capacity at the largest possible scale.

By joining OpenAI’s initiative as first-day signatories, Palo Alto Networks, Mate Security, and ServiceNow are signaling that the industry is moving toward that model. The question now is how quickly organizations can translate increasingly capable AI into measurable reductions in cyber risk.

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Asset management has spent years absorbing machine intelligence into parts of the investment process. FINQ took a different route by handing the whole process over. The results reported for the period ending August 31, 2026 give that decision a track record to point at: 23.51% since inception for AIUP, 23.83% for AINT, and 11.61% for the S&P 500 across the same span beginning February 5, 2026.

Full Delegation Rather Than Partial Assistance

The distinction FINQ draws is structural. Its proprietary AI framework is a systematic approach aimed at beating the indexes by autonomously ranking, selecting, and weighting all participants of an index. Ranking, selection, and weighting are the three decisions that define a portfolio, and in this design all three are handled by the system.

That approach carries a formal marker. AIUP and AINT are the first SEC-registered ETFs in the United States to be fully managed by artificial intelligence. Both trade on NYSE Arca.

The Products in Practice

AIUP is FINQ’s long-only U.S. large-cap equity ETF. It has continued to outperform the benchmark while maintaining broad exposure to its top-ranked companies. As of August 31, 2026, AIUP shows a since-inception return of 23.51%, a net asset value of $29.97, and a market price of $29.99.

AINT is FINQ’s dollar-neutral strategy. It has been buying the top-ranked and selling short the lowest-ranked in its relative ranking AI model. Its since-inception return stands at 23.83%, with a net asset value of $30.97 and a market price of $30.96.

Placing a long-only and a dollar-neutral product on the same ranking engine tests that engine from two directions at once. AIUP relies on the top of the ranking being right. AINT relies on the ordering being right across its full range, since it takes positions at both ends.

A Record Measured Month by Month

FINQ reported not only the cumulative outcome but the shape of it. AIUP has outperformed the S&P 500 at every month-end since inception. AINT has outperformed the S&P 500 in every month except its first month of trading, and following that initial launch month it has consistently outperformed the S&P 500. The company presents AINT’s pattern as further demonstrating the adaptability of its AI framework.

For an industry that evaluates strategies on repeatability, the month-end series is the more informative half of the disclosure. It converts a single cumulative figure into a sequence of observations across seven monthly checkpoints, from the end of February through the end of August.

The two products carry that record under the full names FINQ FIRST U.S. Large Cap AI-Managed U.S Equity ETF and FINQ Dollar Neutral U.S. Large Cap AI-Managed U.S Equity ETF, both launched on the same day on the same exchange.

Speed as a Design Argument

FINQ, an AI-driven asset management company focused on building autonomous investment products, reports that its proprietary AI system systematically evaluates vast amounts of financial and market data of each index participant in real time, enabling the ETFs to dynamically adjust holdings based on evolving market conditions. The company holds that the sustained outperformance highlights the framework’s ability to consistently identify and capitalize on market opportunities with speed and precision that traditional human-managed models cannot replicate.

That is a claim about throughput as much as insight. A framework reading every participant in an index continuously operates at a cadence that differs in kind from periodic committee review.

The View From the Top of the Company

“These results demonstrate the strength and consistency of our AI framework during dynamic market environments,” said Eldad Tamir, founder and CEO of FINQ. “I believe autonomous investing will continue to reshape asset management, and the performance of AIUP and AINT reflects the growing ability of AI to adapt, identify opportunities, and respond to market changes at scale.”

FINQ believes it can continue to build on its early gains following its February launch on NYSE Arca.

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Every dollar a digital business earns passes through its network edge. Checkout requests, API calls, session tokens, mobile app traffic, partner integrations: all of it crosses the same boundary before it reaches an application. That boundary has traditionally been budgeted as a security cost. Huskeys is arguing it should be understood as revenue infrastructure.

The Wall Street Journal first reported that the company has closed a $27 million Series A led by Blackstone Innovations Investments, bringing total funding to $35 million after an $8 million seed round.

The Commercial Logic of Getting the Edge Right

Huskeys is building a Network Edge Security Management platform, a category it abbreviates as NESM. The commercial case for that platform rests on a simple observation: decisions made at the edge have direct financial consequences in both directions.

Serving legitimate traffic accurately keeps customers transacting and revenue flowing. Filtering malicious traffic accurately keeps the organization protected. The requirement is to strengthen security while minimizing false positives, maintaining business continuity, and protecting revenue-critical applications. Those goals are usually presented as a trade-off. Huskeys’ position is that better management makes them compatible.

Itai Gafni, CEO and Co-Founder of Huskeys, put the point in commercial terms: “Every business today runs through its network edge - that’s where your customers, your revenue, and your threats all meet, yet for most organizations, that edge works against them instead of for them.”

Why the Financial Case Is Getting Stronger

Two developments are raising the stakes on edge decisions.

The first is the volume of automated traffic that carries commercial value. Autonomous agents are becoming legitimate users of applications, and non-human traffic is expected to account for 70 percent of all web traffic by 2027. As agents book, purchase, compare, and integrate on behalf of customers, a policy that treats automation cautiously by default starts applying to the majority of inbound commerce.

The second is the pace of the adversarial side. Attackers are using AI to discover and exploit vulnerabilities faster than ever before, and developments such as Mythos demonstrate how AI-driven capabilities are accelerating the speed and scale of cyber threats. Faster discovery compresses the time an organization has to respond after a vulnerability becomes public.

Time to Mitigation as a Financial Metric

That compression is why Virtual Patching reads as a business capability rather than a purely technical one. It allows security teams to mitigate vulnerabilities directly at the network edge within minutes, providing protection while a permanent fix is being developed, tested, and deployed in the application code.

The value is in the delta. Application code fixes move at the speed of an engineering release process. Edge mitigation moves at the speed of a policy push. Shortening the exposure window from a release cycle to minutes reduces risk without pulling engineers off roadmap work to expedite an emergency deployment.

Continuous posture assessment, dynamic policy generation, and orchestration round out the capability set, together helping organizations respond to emerging threats faster.

The Efficiency Argument

There is also a straightforward operating expense dimension. Modern organizations secure their applications across an expanding mix of cloud providers, Content Delivery Networks, Web Application Firewalls, and other edge services. Every one of those tools requires configuration, monitoring, and staff who understand it.

Huskeys’ platform operates on top of existing network infrastructure. Rather than replacing existing investments, it connects and orchestrates the modern network edge ecosystem, including CDNs and WAFs, cloud-native security solutions, and network components such as load balancers, VPCs, and security groups.

That framing protects prior spending. A buyer does not have to write off a multi-year CDN commitment or retrain a team on a new WAF to adopt the platform. The purchase is additive, which shortens the internal approval path considerably compared with a replacement proposal.

The patented Unified Data Model is what makes the additive approach work at a technical level. It creates a common layer of understanding across different environments, technologies, and providers, allowing security insights, policies, and actions to move seamlessly across platforms. The model supports multi-cloud and multi-vendor environments and helps organizations maintain consistent security from the Internet Edge all the way to the application.

Who Wrote the Checks

Blackstone Innovations Investments led. The round also included Merlin Ventures, Skinos Ventures, Zscaler Ventures, Okta Ventures, Bright Pixel Capital, and SV Angel. Skinos Ventures was founded by Shlomo Kramer and Yishay Yovel, pioneers of the WAF and SASE categories.

Individual investors include Eran Reshef, inventor of the WAF and the CAPTCHA, along with executives from Palo Alto Networks, Cloudflare, Check Point, AWS, Google, Microsoft, and Intel.

For a company selling on commercial outcomes, the presence of Zscaler Ventures and Okta Ventures is worth noting. Both are strategic arms of businesses that sell into the same buyers. Their participation indicates the platform is read as an expansion of the edge security budget rather than a reallocation of it.

Adam Fletcher, Chief Information Security Officer at Blackstone, described the reasoning behind the lead investment: “​​The way organizations secure internet-facing applications is fundamentally changing. AI-driven traffic and increasingly fragmented edge environments require a new approach to security management. Huskeys has built a platform designed to operate at enterprise scale while advancing a new category for the modern network edge. We believe the company is well positioned to redefine how organizations manage edge security, and we’re excited to support Huskeys as they continue to develop their product in this important category.”

Customers That Monetize Their Traffic

The reference list maps closely to the revenue argument. Huskeys’ customer base includes TikTok, LEGOLAND, Ro, Blackstone, and Hugging Face.

TikTok monetizes attention at extraordinary volume. LEGOLAND sells tickets and experiences with a direct link between site availability and gate revenue. Ro operates a regulated healthcare business where trust in the transaction is part of the product. Hugging Face serves developers and automated systems that pull models and datasets continuously. Blackstone brings the requirements of a major financial institution and is now also the lead investor.

Across those accounts, Huskeys analyzes more than a trillion web requests and thousands of network configurations every day.

The Category Being Funded

Gafni tied the founding decision to the tools security teams were handed: “We founded Huskeys because security teams are being asked to protect increasingly complex edge environments with legacy tools that were never designed to work together or to address the challenges of the new AI era.” He continued: “As AI transforms both legitimate traffic and cyberattacks, organizations need an intelligence layer that continuously understands what’s happening across the edge and adapts security in real time. Our goal is to make the network finally work for the business, not against it. That’s the category we’re building.”

What Boards Will Want to See

The pitch to a finance function is measurable in principle. Fewer legitimate transactions interrupted. Shorter time from vulnerability disclosure to mitigation. Less engineering time diverted to emergency edge changes. More consistent policy across an estate that grew by accumulation.

Whether those numbers materialize consistently across different architectures is the question the next stage of the company will answer. What is already established is the scale at which the answer will be tested. A trillion requests a day, across customers ranging from a social platform to a theme park operator to an AI model hub, is a broad enough sample to make the results meaningful.

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Oren Blank’s argument is worth taking seriously on its own terms before getting into the product. The CEO of Walnut, announcing an enterprise-grade agent platform for product-led buyer enablement, framed the release around a claim about where advantage in software has moved:

“Every company has access to the same frontier models now, so the ability to build features isn’t a competitive advantage anymore. What is: your ability to go to market effectively, tell a coherent story, and create a buyer experience that actually helps your buyer make the informed decision.”

If that premise holds, the go-to-market function becomes the place where differentiation is won or lost, and the tools that function uses matter more than they used to. Walnut’s release is a bet on exactly that.

What Walnut Announced

Walnut, the platform used by go-to-market teams at hundreds of B2B software companies to build interactive product demos, deal rooms, and buyer-facing content, has introduced a family of AI agents that covers both sides of the buying experience for the first time. Two agents are new. AI Mode for Playlists and Deal Rooms assembles a complete, personalized buyer-facing experience from a single prompt. Walnut Xpert sits on top of a demo and lets buyers ask questions and find their own way through the product. They join InsightsAI and AI Mode for demos, already live on the platform.

Coherence as a Product Requirement

Blank’s quote emphasizes telling a coherent story. The architecture of the platform is designed around that requirement. All four agents share the same foundation. Rather than generating content from a prompt and a guess at what the product looks like, Walnut’s agents work from the company’s own capture technology, which clones the actual product, its real screens, real flows, and real data, and builds every asset on top of that captured context.

The result is that when AI Mode assembles a demo or Walnut Xpert answers a buyer’s question, the output is anchored to what the product actually does. Walnut describes this as the architectural bet behind the announcement: a buyer’s journey holds together from first click to signed deal because every agent along the way draws on the same grounded context rather than starting from a blank page. A deal room assembled by AI Mode reinforces the story the demo already told rather than starting over.

Personalization at Full Scale

The second half of the strategy is reach. In Walnut’s telling, personalization stops being something a team builds for its five biggest deals and becomes something it builds for all of them.

Two data points support the claim. Deal room and playlist curation, which used to take an account executive or customer success manager roughly three hours per deal, now takes a sentence. Demo creation, over the past year of Walnut’s demo creation and personalization agents, has moved from days to hours to minutes, with greater fidelity and interactivity rather than less. A GTM team that once had to choose which accounts merited a tailored experience can now extend that experience across the pipeline.

The Buyer as a Source of Signal

Blank’s third clause, a buyer experience that helps the buyer make an informed decision, is where Walnut Xpert enters. Instead of a fixed, click-through path, a buyer can ask questions, go deeper on what matters to them, and find their own way through the product, guided by an agent grounded in the seller’s actual captured product.

Walnut reports that sessions with Walnut Xpert alongside a demo more than double the time a buyer spends. The questions asked generate intent signal a static demo never could. Walnut compares the effect to an AI SDR, qualifying interest and surfacing what buyers care about at a scale no team could staff for. Awareness activity that once yielded a click or a page view becomes a record of what buyers actually asked, in their own words.

AI Mode for Playlists and Deal Rooms in Practice

A seller describes what a specific buyer needs. The agent assembles a complete, personalized playlist or interactive deal room, drawing on the company’s captured product content, the buyer’s CRM record, and the seller’s stated intent. Because it works from the same grounded foundation as every other Walnut agent, the output reinforces rather than restarts the story.

The Model Question

Blank’s opening premise, that every company has access to the same frontier models, also explains Walnut’s decision to support bring-your-own-key (BYOK). Customers will be able to use their own model key, gaining direct control over security, privacy, and spend. Walnut’s position is that its verticalized buyer-enablement harness, the captured context, the workflows, and the governance, is the durable value, and it works with any underlying model. As frontier models keep improving, the quality and value customers get from Walnut’s agents improves with them, regardless of which model is doing the work underneath.

Governance as the Precondition

Before any agent with autonomy shipped, Walnut released the AI Center, a governance layer that gives administrators visibility, permissions, and guardrails over how AI is used across their workspace. The sequencing was deliberate. Agents that act on an organization’s behalf are only adoptable once someone inside that organization can see and control what they are doing, across every agent, in one place. BYOK support extends that layer.

Judgment Stays Human

In every case, the person on the GTM team remains the one who decided what story should be told and to whom. The agents execute from one shared, grounded context. The judgment stays with the humans who understand the account. That division is consistent with Blank’s framing: the strategic act of going to market well remains a human act, and the agents are there to carry it out at scale.

Availability

The AI Center, AI Mode for demos, AI Mode for Playlists and Deal Rooms, and Walnut Xpert are available to Walnut customers today. BYOK support, along with a companion MCP that lets customers run it from the AI provider of their choice, will roll out in the coming weeks.

Walnut describes itself as a vertical AI platform for product-led buyer enablement, built on a single agentic architecture that lets GTM teams direct one cohesive buying story instead of stitching together disconnected AI tools. On Blank’s reading of the market, that cohesive story is the thing worth competing on.

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AI agents are giving security teams a new way to investigate threats, but greater autonomy also creates a difficult question: how much freedom can an organization safely give an AI system? SiliconANGLE first reported on Mate Security’s Gamebooks, a new architectural layer designed to let agents reason and adapt during investigations while keeping them within defined organizational procedures and guardrails.

Moving Beyond Static Playbooks

Security teams have traditionally used SOAR playbooks to automate investigations. The problem is that investigations rarely follow the same path for long. Threats change, security environments evolve, tools are replaced and business processes are updated, forcing teams to continually maintain workflows.

AI SOC platforms have attempted to solve that problem by replacing fixed workflows with agentic reasoning. But removing structure entirely introduces a different risk. An AI agent with broad autonomy can potentially make decisions outside an organization’s processes, even when the intent is to automate security operations.

Mate describes the solution as controlled autonomy. Instead of forcing agents to follow rigid scripts or allowing them to operate without meaningful boundaries, Gamebooks provide structured investigation procedures that define what agents need to accomplish and where they must stop.

Defining Investigative Intent

Gamebooks establish what must be investigated, what evidence needs to be established, which conditions should change an investigation, what actions are permitted and when an agent must escalate, stop or request approval.

The important distinction from traditional playbooks is that Gamebooks define investigative intent rather than a fixed execution path.

An agent can determine how to pursue an investigation based on the evidence it uncovers and the organization’s most current context. Mate describes the resulting approach as deterministic where it matters and dynamic where adaptability is useful.

The architecture also separates investigation logic from the specific technologies used to execute it. Investigation procedures are not tied to particular tools, APIs or predefined execution paths.

How the Architecture Works

Gamebooks are part of a broader architecture Mate has been developing for agentic security operations.

The company’s Security Context Graph captures organizational context and provides a foundation for agent reasoning. Its Continuous Detection / Continuous Response framework connects detection, investigation and response into a continuous loop.

Gamebooks add the procedural layer. An orchestrator selects the appropriate Gamebooks for an investigation, while Gamebooks establish investigative intent, required evidence and boundaries. Capabilities provide reusable, vendor-neutral security skills that agents can apply as evidence emerges.

The Security Context Graph maintains shared state and current context, while Flows provide the controlled execution layer for interactions with specific tools and systems.

This separation is designed to let investigative intent remain consistent even when execution needs to change.

Designed for Changing Environments

That flexibility becomes important when organizations change their security environments.

A company might replace a security tool, acquire another organization with a different technology stack or lose an experienced analyst. Traditional playbooks can require significant rebuilding under those circumstances.

Mate says Gamebooks allow investigative intent to remain intact while execution adapts. The Security Context Graph can also preserve previous decisions, reasoning and context, helping retain institutional knowledge when personnel change.

Organizations can customize the system as well. Security teams can translate existing playbooks into investigative intent, extend Mate’s Gamebooks with organization-specific requirements, connect proprietary tools and data, and define new investigation procedures in natural language.

Mate handles the underlying agent engineering, evaluations, testing and execution while customers retain their investigation logic and customizations.

Toward Trusted Agentic Investigations

The launch reflects Mate’s broader argument that AI-powered security operations require a different architecture rather than simply more capable models.

“AI is changing the speed and scale of both attack and defense, but security teams cannot trade control for speed,” said Oren Saban, Co-Founder and Chief Product Officer at Mate. “The shift to agentic investigations requires a different architecture, one that gives AI the freedom to reason and adapt while keeping it grounded in how each organization actually investigates. Gamebooks give agents that structure, so organizations can move toward autonomous security operations without giving up trust.”

Mate says Gamebooks are generally available as part of its platform and will be showcased at CrowdStrike Fal.Con 2026. The company positions the technology as a step toward moving security operations from scripted automation to agentic investigations that can adapt while remaining grounded in organizational methodology, context and guardrails.

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Providing a Safe Haven for Defensive Investors

When the economy gets bumpy, investors often flock to what they call defensive stocks. These are companies that provide consistent dividends and stable earnings regardless of how the broader stock market is performing. Tobacco companies fall squarely into this category, often labeled as vice stocks. The interesting thing about these products is that demand remains surprisingly steady during economic downturns. People don't stop buying their favorite smokes just because the stock market had a bad week.

When retail sales reports show strong numbers in this sector, it reassures investors holding these defensive stocks. A solid earnings report from a major manufacturer can lift the entire consumer staples sector. Because these companies are known for paying reliable dividends, a steady flow of sales helps maintain those payouts, making their stock highly attractive to retirees and conservative portfolio managers. They rely on that quarterly income, and that income relies directly on consistent retail sales.

Acting as a Barometer for Consumer Confidence

You can actually learn a lot about consumer confidence by looking at the specific types of products flying off the shelves. When the economy is booming and disposable income is high, you'll see a spike in the sales of ultra-premium, hand-rolled products. People buy them to celebrate promotions, weddings, and new babies. This signals to analysts that consumers feel secure in their financial future and are willing to splurge.

Conversely, during tighter economic times, the overall sales volume might stay the same, but the buying habits shift toward more affordable, machine-made options. Analysts watch these subtle shifts carefully. If a major manufacturer reports a sudden drop in their premium line but a spike in their budget-friendly options, Wall Street interprets this as a sign that the average consumer is tightening their belt. It's a real-time indicator of economic anxiety playing out at the cash register.

Influencing Global Supply Chains and Logistics

The journey of a tobacco leaf from a farm to a humidor involves a complex global supply chain. Many of the world's most popular brands source their materials from countries in Central and South America, as well as the Caribbean. Because of this international footprint, sales figures are closely tied to global trade policies, shipping costs, and agricultural commodities.

If sales surge, these companies need to increase production, which directly impacts the logistics and shipping sectors. It drives revenue for the cargo companies transporting the goods and the agricultural firms supplying the raw materials. On the flip side, if sales drop due to changing consumer tastes or new taxes, the impact is felt far beyond the manufacturer. Shipping volumes decrease, and agricultural stocks might take a hit. Stock market analysts monitor these sales to forecast the performance of the broader logistics and farming sectors.

Driving Mergers and Market Capitalization

High sales figures also drive corporate mergers and acquisitions, which always generate excitement on the trading floor. The tobacco industry is highly consolidated, with a few major publicly traded corporations owning dozens of smaller brands. When a boutique manufacturer starts showing incredible sales growth and taking market share, the corporate giants take notice.

Often, they'll use the capital generated from their own consistent sales to buy out the smaller competitor. When news of an impending acquisition breaks, the stock prices of both companies typically experience significant movement. Traders try to capitalize on the buyout premium, leading to increased daily trading volume. This consolidation strategy allows the major players to keep their stock prices growing, proving that retail trends directly fuel corporate expansion.

Buffering Against Regulatory Volatility

You can't discuss this industry without mentioning the impact of government regulations. The stock prices of major tobacco companies are incredibly sensitive to regulatory news. However, consistent sales figures often serve as a buffer against legislative changes. If a company continues to post strong sales numbers despite new taxes or marketing restrictions, it proves the resilience of its customer base.

When a manufacturer proves they can maintain their profit margins through pricing power, meaning they can raise prices without losing customers, investors reward them by buying up their stock. Strong sales validate the company's pricing strategy. This resilience makes the stock a safe haven during volatile trading periods, drawing capital away from riskier growth stocks and funneling it into the consumer staples sector.

Looking Beyond the Surface Numbers

While it might not get the same mainstream media coverage as the latest smartphone release or electric vehicle launch, this industry quietly plays a significant role in the stock market. From acting as a barometer for consumer confidence to providing stable dividend yields for defensive investors, the financial ripples of these sales are undeniable. The next time you see a market analyst breaking down consumer staple earnings, remember that the numbers on the screen are driven by everyday people deciding how to spend their hard-earned money. Even the most niche markets have a part to play in the larger financial ecosystem.

Unfortunately, these small warning signs are often the first indicators of a much larger problem. Delaying repairs puts your property and your family at risk. If you notice something unusual with your power supply, calling a licensed electrician right away is the safest way to prevent a catastrophic house fire. Let's look at exactly how neglected electrical issues turn into dangerous blazes.

The Warning Signs We Often Brush Off

Think about how often a circuit breaker trips in your house. If it happens once in a blue moon because you ran the microwave and the vacuum at the same time, you probably don't have much to worry about. But if you have to reset the same breaker every week, your system is crying for help. A tripping breaker is a safety mechanism doing its job. It shuts off the flow of electricity when a circuit draws more power than it can safely handle. If you just keep flipping the switch back on without investigating the root cause, you're forcing a compromised system to keep working.

Other common warning signs include lights that dim when a large appliance turns on, outlets that feel warm to the touch, and a faint buzzing sound coming from a wall switch. Some people even notice a subtle burning plastic smell near their outlets. None of these things are normal. They all indicate that electricity is encountering resistance, and in the world of wiring, resistance equals heat.

The Spark: How Heat Turns Into a Fire

To understand why ignoring these problems is so dangerous, it helps to understand how an electrical fire actually starts. When wires are properly connected and sized correctly for the electrical load, the current flows smoothly. But when a connection is loose, frayed, or damaged, the electricity has to jump across a tiny air gap to keep moving. This phenomenon is known as an electrical arc.

Arcing is incredibly dangerous because it generates extreme, localized heat. The temperature of an electrical arc can easily reach thousands of degrees in a matter of seconds. This intense heat quickly melts the protective plastic insulation surrounding your wires. Once that insulation burns away, the exposed, red-hot wire comes into direct contact with the materials inside your walls. Wood framing, drywall paper, and accumulated dust are highly flammable. Before you even see smoke in your living room, a fire can spread rapidly through the dark spaces behind your drywall, traveling up into the attic or across the ceiling.

The Danger of Outdated and Aging Wiring

Homes built several decades ago have a unique charm, but their electrical systems were never designed to handle modern demands. Think about the sheer number of devices we plug in today. Smart televisions, gaming consoles, high-efficiency refrigerators, multiple space heaters, and a dozen different phone chargers demand a constant, significant draw of power.

Older wiring, like knob-and-tube or the aluminum wiring common in the 1960s and 1970s, degrades over time. Aluminum, in particular, expands and contracts as it heats up and cools down. Over the years, this constant shifting causes connections at the outlets and switches to become loose, which creates the perfect environment for arcing. Older homes often lack the grounding wire found in modern electrical cables, meaning any stray current has nowhere safe to go. If your home hasn't had an electrical inspection in a few decades, you might be pushing an obsolete system far beyond its limits every single day.

The Risks of DIY Fixes and Band-Aid Solutions

In an era of endless online video tutorials, many homeowners try to save a few bucks by tackling home repairs themselves. While painting a bedroom or fixing a leaky faucet are great weekend projects, electrical work is an entirely different beast. Using the wrong gauge of wire, installing the wrong type of outlet, or failing to secure a wire nut properly can create a ticking time bomb inside your walls.

A common mistake is using extension cords as a permanent solution. Extension cords are only meant for temporary use. When you run them under rugs or staple them to baseboards, they can easily become pinched or frayed. As the damaged cord draws power, it heats up, melting the rubber casing and eventually igniting whatever it touches. Relying on these kinds of quick fixes instead of upgrading your actual wall outlets puts your home in jeopardy.

Prioritizing Your Peace of Mind

Your home should be your safe haven, but neglecting your electrical system turns it into a hazard. The wires snaking through your walls are the nervous system of your house, and they require regular attention and professional care. It's incredibly tempting to ignore a buzzing switch or a dead outlet, especially when you have a busy schedule and a tight budget. But the cost of a professional repair is practically nothing compared to the devastating loss of a house fire.

Listen to what your house is telling you. If something smells like burning plastic, if your breakers constantly pop, or if your lights flicker without a clear reason, don't wait to see if the problem resolves itself because it won't. Taking proactive steps to fix these issues immediately ensures your family stays safe and your property remains protected for years to come.

Partnering with a skilled garden designer changes the entire trajectory of the project. These professionals know how to work with the unique elements of elevated spaces, turning barren footprints into vibrant ecosystems. Whether you want a quiet place to drink your morning coffee or a functional entertainment area for weekend dinners, a professional approach ensures the final result is both stunning and sustainable. Let's explore exactly how an expert can elevate your rooftop space.

Navigating Structural Realities and Smart Layouts

A rooftop isn't a traditional backyard. The biggest hurdle you face when building up in the air is the structural load. Dirt, large planters, water, and retaining walls carry a lot of weight. An experienced professional knows how to work with these structural realities without compromising on style.

Instead of loading up the center of the roof with deep soil beds, they strategically place the most substantial planters along the load-bearing parapet walls. They also opt for lightweight, custom-built fiberglass or aluminum containers and use specialized soil blends designed specifically for roof load limits. This clever distribution ensures the building remains structurally sound while still giving the plants plenty of room to establish strong root systems and thrive over time.

Zoning for Lifestyle and Function

A beautiful layout won't matter much if the space doesn't suit your daily lifestyle. The best designs seamlessly blend function with aesthetics by creating distinct zones. Just like the interior of your home, your outdoor retreat needs a logical flow.

An expert will sit down with you to figure out how you actually plan to use the area. If you love hosting friends, they'll create a dedicated dining zone with built-in seating that doubles as hidden storage for cushions and gardening tools. For a more relaxed vibe, they might build a shaded lounge area centered around a sleek natural gas fire pit. By using visual cues like changing the decking material, adding an outdoor rug, or placing a strategic row of low planters, they naturally divide the open footprint into cozy, purposeful rooms.

Taming the Elements

Being several stories up means your plants and furniture are entirely exposed to the elements. The sun beats down much harder without the shade of neighborhood trees, and the wind whips across the building at much higher speeds. Making this climate comfortable is where professional expertise truly shines.

To make the space enjoyable for you and safe for your plants, designers introduce smart architectural features. They might install a slatted wood pergola to break up the harsh afternoon sun or utilize sturdy glass windbreaks that block the gusts without ruining your city view. They understand how to manipulate these microclimates, ensuring you aren't shivering during a breezy autumn dinner or baking in the midday summer heat.

Choosing Resilient, Layered Greenery

Picking plants for a roof is tricky. The species that thrive in a ground-level backyard will often scorch or snap in the harsh rooftop conditions. A designer carefully selects a tough, drought-tolerant plant palette that looks delicate but performs exceptionally well under stress.

They usually rely on a mix of hardy evergreens, ornamental grasses, and resilient succulents, but they don't just line them up in a row. They layer the greenery to create visual depth, placing taller shrubs in the back and cascading vines near the edges of the planters to soften the hard lines of the containers. This layering technique mimics how plants grow in nature, making the built environment feel organic, lush, and naturally established.

Building Privacy and Buffering Noise

Urban rooftops are rarely private. You often have neighboring buildings looking right down into your space, and the ambient noise of city traffic is a constant hum. Creating a sense of seclusion is a huge priority for any successful project.

Designers tackle this lack of privacy by installing custom trellis systems and training climbing vines to grow up the sides, instantly shielding you from prying eyes with a wall of green. For noise reduction, they often incorporate soothing water features. The gentle sound of a trickling fountain or a small waterfall acts as brilliant white noise, drowning out the sirens and street chatter below. You end up with a peaceful sanctuary that feels miles away from the busy streets.

Blending the Indoors with the Outdoors

Finally, a great rooftop design doesn't feel disconnected from the rest of the house. It should feel like a natural extension of your indoor living space. A designer pays close attention to the sightlines from your interior windows and doors.

They'll pull colors, textures, and materials from your indoor decor and bring them outside. If your living room features warm oak floors and modern black fixtures, they'll mirror that aesthetic on the roof using similar wood decking and sleek black planters. This continuity draws the eye outward, making your entire home feel larger and more cohesive.

Taking a stark, empty roof and turning it into a thriving outdoor living space is a remarkable process. It takes careful planning, a deep understanding of structural limits, and a sharp eye for natural beauty. By blending architectural problem-solving with creative horticulture, a professional touch turns an underutilized area into your absolute favorite part of the home. You get to step outside, take a deep breath, and enjoy a private retreat right above the city skyline.

A broken tent zipper or a leaking sleeping pad is a minor annoyance in July, but in October, it can easily ruin your entire trip. Giving your equipment a thorough inspection right now saves you from unpleasant surprises later. If you find worn-out straps, broken buckles, or damaged webbing on your packs and tents, picking up some high-quality narrow goods is a great way to handle those essential repairs yourself. Let's break down exactly what you should be looking for and how to fix the common issues you might find.

Pitch Your Tent in the Backyard

The best way to check your shelter is to set it up completely. Don't just unroll it in the living room; take it outside and stake it down. Once it's pitched, throw the rainfly over the top, crawl inside, and look for tiny pinholes in the canopy. A patch of sunlight shining through means you have a tear that needs fixing. You can easily patch small holes with a silicone-based sealant and a specialized fabric patch.

Next, run your fingers along the seams of both the main tent and the rainfly. The factory seam tape tends to peel and flake off over time. If you notice it peeling, gently scrub the old tape away and apply a fresh coat of liquid seam sealer. Finally, check your poles for any splintering fiberglass or bent aluminum, and inspect your guylines. If the shock cord inside the poles has lost its stretch, you can buy a replacement cord and re-thread the pole sections in just a few minutes so they snap together perfectly again.

Test Your Sleeping System

A cold night in a sleeping bag with a broken zipper is a miserable experience. Run the zippers up and down a few times to ensure they don't catch on the surrounding fabric. If they feel stiff, rub a bit of beeswax or a specialized zipper lubricant along the teeth to get them gliding smoothly again. If your sleeping bag has lost its loft and feels flat, it won't trap your body heat effectively. Wash it using a specialized technical detergent, then run it through a large commercial dryer on a low heat setting with a few clean tennis balls to fluff the insulation back up.

Your sleeping pad is just as crucial for staying warm, as it insulates you from the freezing ground. Inflate it fully, leave it in a quiet room, and listen for a subtle hissing sound. If you suspect a leak but can't find it, mix some dish soap and water in a spray bottle. Spray the inflated pad and look for bubbles forming. Once you locate the puncture, clean the area and apply a permanent adhesive patch.

Go Over Your Backpack

Your pack takes a lot of abuse, being tossed on rocks, dragged through dirt, and stuffed to the brim with supplies. Inspect the main shoulder straps and the padded hip belt closely. Look at the stitching where the straps connect to the main body of the bag. If you see threads starting to unravel, reinforce the area with a needle and some durable upholstery thread before a total blowout happens on the trail.

Check every single plastic buckle and tensioner. If you step on a buckle and crack it, it won't hold tension anymore, which throws off your center of balance. Luckily, replacement buckles are cheap and easy to swap out. Simply cut away the broken plastic and thread a new side-release buckle onto the webbing. If the webbing itself is frayed beyond saving, you can cut out the damaged section and sew in a replacement strap to keep your pack fully functional. Don't forget to brush out the zippers on your pack to remove any grit or sand left over from your summer trips.

Fire Up the Camp Kitchen

You really don't want to discover your stove is broken when you're miles from civilization and craving a hot cup of coffee on a frosty morning. Pull out your camping stove, attach a fresh fuel canister, and light it up. The flame should burn a steady, bright blue. If it sputters, struggles to stay lit, or burns a lazy yellow, the fuel line or burner head is probably clogged with soot or old food spills from your last cookout.

Use a wire brush or a simple sewing needle to clean the burner head and clear out any blockages in the jet. Next, inspect the rubber O-rings on the fuel connections. Over time, these small rubber rings dry out, crack, and fail, leading to dangerous gas leaks. If the O-ring looks brittle or flat, pop it out with a safety pin and replace it with a fresh one from your repair kit.

Pack With Confidence

Taking the time to maintain your equipment isn't the most glamorous part of spending time outdoors, but it's undoubtedly one of the most important. A little bit of preventative maintenance ensures you stay warm, dry, and safe when the temperatures start to drop. By catching these small issues now and making the necessary fixes in the comfort of your home, you'll be ready to embrace everything the autumn season has to offer without a second thought. Grab your gear bin, dedicate a weekend afternoon to checking things over, and enjoy your next outdoor adventure with total peace of mind.

Finding a way to break this cycle is crucial for a healthy workplace culture. For many executives, the solution starts long before they step foot in the office. Hitting the gym, going for a run, or working with personal training completely rewires how a manager interacts with their team throughout the day. The physical act of working out doesn't just build muscle; it directly improves a leader's ability to listen, empathize, and speak clearly. Let's look at exactly how a dedicated fitness routine turns a stressed manager into an effective, approachable communicator.

Lowering Stress for Calmer Conversations

A manager under chronic stress is rarely a good listener. When your inbox is overflowing and deadlines are approaching, your body pumps out cortisol. This stress hormone puts you on edge, making you more likely to snap at a well-meaning employee who just needs clarification on a project. You might not mean to sound harsh, but the underlying tension bleeds into your tone of voice.

Exercise is one of the most effective ways to process and eliminate that built-up stress. A morning workout burns off the nervous energy that accumulates during high-stakes boardroom meetings. By the time a fitness-focused manager walks into the office, their baseline stress level is significantly lower. They aren't reacting to every minor setback as if it were a major crisis. This calm demeanor directly translates into better communication. When an employee brings up a problem, a relaxed leader can respond with a level head, ask clarifying questions, and guide the conversation toward a solution rather than reacting defensively.

Building Empathy Through Physical Struggle

It's easy for business leaders to become disconnected from the day-to-day struggles of their staff. When you sit at the top, you expect things to get done efficiently. However, pushing your own physical limits in the gym is a humbling experience. It reminds you what it feels like to struggle, to learn a new skill from scratch, and to fail before you succeed.

When you struggle to hit a new lifting record or finish a grueling cardio session, you tap into a very human vulnerability. This shared experience of overcoming obstacles fosters genuine empathy. A manager who remembers the frustration of trying to master a new workout routine is much more likely to be patient when an employee struggles to learn a new software system. Instead of expressing annoyance, the manager communicates with understanding. They offer guidance and encouragement because they intimately understand the process of incremental growth. Empathy naturally softens your delivery and makes your team feel truly heard.

Sharpening Focus for Active Listening

Have you ever talked to a boss who spent the entire conversation staring at their phone or glancing at their monitor? It's incredibly demoralizing. Poor communication isn't just about what you say; it's about how you listen. Modern management requires intense focus, and physical fitness is a proven way to sharpen your cognitive abilities.

Regular physical activity increases blood flow to the brain, specifically targeting the areas responsible for executive function and attention span. When you train your body, you also train your brain to stay locked in on the task at hand. For a manager, this means being fully present during one-on-one meetings. A leader with strong cognitive endurance can sit down with an employee, maintain eye contact, and process the information being shared without their mind wandering to their next appointment. Active listening prevents misunderstandings and shows the employee that their input is valued. When a manager actually listens, the subsequent feedback they give is much more relevant and helpful.

Removing the Invisible Corporate Barrier

Sometimes, the biggest hurdle to effective communication is the invisible barrier that separates management from the rest of the staff. Employees often feel intimidated by executives, assuming they have nothing in common with the people in the corner offices. Fitness offers a universal language that easily bridges that gap.

When a manager talks casually about their weekend hike, a running route they tried, or feeling sore from a workout, it humanizes them. It gives employees a low-stakes topic to discuss in the breakroom before diving into complex work issues. These casual interactions build a foundation of trust. Once an employee feels comfortable chatting with their boss about running shoes or gym routines, they'll feel much more comfortable approaching that same boss with a creative idea or a serious concern regarding a client.

Setting a Better Standard

Improving workplace communication requires more than just scheduling extra meetings or sending out company-wide memos. It requires leaders who are mentally and emotionally equipped to connect with their teams. By prioritizing physical health, business managers cultivate the patience, empathy, and focus needed to guide their employees effectively. The time spent sweating it out before the workday begins pays off immensely the moment you step into the office, allowing you to lead with clarity and build a stronger, more communicative team.

Traditional fabrics tend to trap body heat, turning your mattress into an unwanted sauna. If you want to wake up feeling refreshed instead of damp and exhausted, upgrading your sleep setup is the smartest move you can make. Switching to high-quality bamboo sheets completely transforms your nighttime experience. This remarkable fabric possesses natural cooling properties that help regulate your body temperature, even during the hottest weeks of the year. Let's explore why this material keeps you comfortable, dry, and cool all summer long.

Look at the Micro-Structure

To understand why this fabric excels at cooling, you have to look at it on a microscopic level. Traditional cotton fibers are relatively smooth and pack tightly together when woven into a sheet. While cotton is breathable to an extent, a tight weave often restricts airflow. This means the heat radiating from your body hits the fabric and bounces right back under the covers.

Bamboo fibers, however, are fundamentally different. They're naturally hollow and filled with microscopic gaps and pores. When spun into yarn and woven into bedding, these tiny holes act like a built-in ventilation system. Instead of trapping your body heat, the porous structure allows warm air to flow freely through the material and escape into the room. At the same time, cooler room air easily passes through the fabric to reach your skin. This constant, gentle air exchange prevents heat from building up, ensuring the microclimate under your covers stays fresh and comfortable from dusk until dawn.

Active Moisture Wicking for a Drier Sleep

Sweating is your body's natural mechanism for cooling down. When you get too warm, your skin releases moisture, which then evaporates and lowers your surface temperature, but for this process to work properly in bed, your sheets need to cooperate. That's where the difference between absorbing and wicking fabrics becomes important.

Cotton is highly absorbent; it soaks up sweat like a sponge. The problem is that cotton holds onto that moisture, leaving you lying on a damp, clammy surface that disrupts your rest. Bamboo, on the other hand, is a naturally moisture-wicking material. Those same microscopic gaps that promote airflow also act as tiny capillaries. When you sweat, the fibers actively pull the moisture away from your skin and draw it to the surface of the sheet. Once the moisture reaches the outer layer, the breathable weave allows it to evaporate rapidly. This fast evaporation process not only keeps your skin dry, but it also creates a subtle, natural cooling effect that actively lowers your temperature. You stay comfortably dry without ever feeling that awful, sticky humidity.

Soothing Comfort for Irritated Skin

Summer weather takes a toll on our skin. Between sunburns, chlorine from the pool, and irritating bug bites, your skin needs a gentle touch at the end of the day. Synthetic materials and low-quality cotton often feature rough fibers that grab and pull at sensitive skin. This rubbing generates excess warmth and discomfort, which can trigger even more sweating.

The long, smooth fibers of the bamboo plant create a fabric that feels incredibly silky and buttery to the touch. It drapes elegantly over your body without feeling stiff or restrictive. Because the material is so smooth, it glides over sunburns and sensitive areas without catching or rubbing. This lack of resistance means your body stays calmer, reducing the sudden spikes in heart rate and temperature that often accompany physical discomfort. Plus, the fabric is naturally hypoallergenic, making it an excellent choice for keeping summer allergens like pollen and dust mites away from your face while you breathe deeply.

Smart Thermoregulation for Year-Round Rest

While this material is famous for its summertime performance, its unique properties aren't limited to the hot months. The same structure that keeps you cool in July actually works to keep you comfortable in December. Because the fabric is thermoregulating, it adapts to your current environment and your body's specific needs.

When the room drops to a cooler temperature during the winter, you naturally add a thicker blanket to your bed. Those hollow micro-gaps in the sheets that let heat escape in the summer suddenly switch roles. When covered by a thicker layer, they trap small pockets of warm air close to your body, providing excellent insulation without causing you to overheat. This means you don't have to pack your favorite sheets away in a closet for six months out of the year. You get a consistent, balanced sleep experience regardless of the season outside your window.

Upgrading Your Nightly Routine

Consistently getting a good night of sleep is the foundation of a healthy, active lifestyle. You shouldn't have to spend your summer nights fighting against your own bed. By moving away from heat-trapping synthetics and damp cotton, you give your body the environment it needs to rest properly. The natural breathability, rapid moisture-wicking, and silky softness of this specialized bedding create the perfect sanctuary for hot sleepers. When you create a cool, dry, and soothing space to lay your head, you'll finally stop watching the clock and start enjoying the deep, restorative rest you deserve.

Fortunately, technology offers real relief. Thoughtful healthcare mobile app development is producing tools designed to lift the weight off caregivers' shoulders. Instead of relying on scattered sticky notes and memory alone, families can use smart applications to organize every aspect of their loved one's care. Let's look at exactly how these digital tools are transforming the experience and preventing burnout.

Centralizing Family Communication

One of the most draining aspects of caregiving isn't just the physical work; it's the endless communication. When a parent or spouse has a medical condition, every relative wants updates. Texting your siblings, aunts, and cousins individually after every single doctor visit is tedious. You end up repeating the same medical jargon, which takes away from the time you could be resting.

Communication-focused apps solve this problem by creating a secure, centralized hub for the family. You can write one update or share test results in a private group feed. Everyone stays informed without pinging your phone all afternoon. More importantly, these apps often feature shared calendars where family members can volunteer to take on specific tasks. If your brother can drive to the Tuesday physical therapy session, he can claim it on the app. This simple feature turns caregiving from a solo marathon into a team effort.

Simplifying Medication Management

Managing a complex medication schedule is terrifying for many family caregivers. When your loved one takes five different pills in the morning, two at lunch, and three before bed, the stakes are high. Missing a dose or accidentally double-dosing can lead to a trip to the emergency room. Keeping track of all these schedules requires intense mental energy.

Dedicated medication apps remove the guesswork and anxiety. You can input the exact prescriptions, dosages, and times into the system. When it's time for the next pill, the phone sends a clear alert. Some apps even allow the patient to check off that they've taken their medication, automatically notifying the caregiver. If a dose is skipped, you'll know right away, even if you aren't in the same room. These platforms also track refill dates, sending you a notification a few days before a prescription runs out.

Remote Monitoring for Peace of Mind

You can't be in two places at once, and feeling guilty about leaving a loved one alone is a fast track to emotional exhaustion. Whether you need to go to work or just take a nap, you need to know your family member is safe.

Modern apps connect seamlessly with wearable devices and smart home monitors, allowing you to keep a watchful eye from a distance. If an aging parent wears a smartwatch with fall detection, the connected app will instantly alert your phone if they take a tumble. Other tools monitor heart rate, sleep patterns, and daily activity levels. If someone usually gets out of bed by eight in the morning and the app registers no movement by ten, you know it's time to check in. This remote visibility gives caregivers the confidence to step away.

Direct Support for the Caregiver's Mental Health

When you're entirely focused on someone else's health, your own well-being usually drops to the bottom of the priority list. Caregivers frequently skip their own doctor visits and ignore signs of depression. App creators understand this dynamic, which is why many platforms now include features aimed directly at the caregiver's mental health.

Some tools offer quick check-ins where you can log your stress levels and mood. By tracking these patterns, the app can recommend short mindfulness exercises, breathing routines, or guided meditations designed to lower blood pressure and center the mind. Other platforms provide direct links to virtual support groups. Connecting with other people who understand exactly what you're going through is incredibly validating. You don't have to leave your living room to find an empathetic community or a licensed therapist who can help you process your emotions.

Organizing Medical Records and Important Documents

Walking into a specialist's office holding a bulky binder full of unorganized medical records is a frustrating experience. Caregivers are often expected to remember detailed health histories, specific allergy lists, and the dates of past surgeries on the spot. Trying to recall this information under pressure only adds to your stress.

Healthcare apps serve as a secure, digital filing cabinet for these crucial details. You can scan and upload insurance cards, advance directives, and discharge summaries straight to your phone. If a new doctor asks about a specific blood test from six months ago, you can pull it up in seconds. Having all this information neatly categorized makes medical appointments much more efficient. It also ensures that if a different family member has to step in for a few days, they have all the context they need right at their fingertips.

Easing the Daily Burden

Caregiver burnout doesn't happen overnight; it builds up slowly through thousands of tiny, stressful moments. While an app can't physically make a meal or hold someone's hand, it can eliminate the logistical headaches that drain your energy. By automating reminders, centralizing family communication, and keeping medical records organized, these tools give you precious time back in your day. When you aren't constantly worried about missing a pill or forgetting an appointment, you can actually focus on being present with your loved one. Embracing technology won't solve every challenge, but it certainly makes the journey much more sustainable.

George Washington: The Ultimate Precedent

Washington didn't just serve in the military; he essentially built the American armed forces from scratch. Before becoming the first president, he led the Continental Army against the British Empire. He spent grueling winters with his men, suffering alongside them at Valley Forge. His time as a general proved he could handle extreme pressure and keep a fractured group united under a single cause. When he finally took office, his military background gave him the instant respect of a newly formed nation. He established the standard that the military should ultimately answer to civilian leadership, a principle that remains a cornerstone of the republic today.

Ulysses S. Grant: The Hero of the Union

While Washington fought to create the country, Ulysses S. Grant fought to keep it from falling apart. Grant was a career soldier and a graduate of West Point who saw action in the Mexican-American War before briefly leaving the army. When the Civil War broke out, he returned to service and eventually became the commanding general of the Union Army. Grant had a reputation for being a relentless, calculated tactician. His ability to remain calm under severe stress on the battlefield naturally translated to his political career. Though his presidency faced its own unique struggles, his steadfast dedication to the country was forged on the battlefields of Shiloh and Vicksburg.

Theodore Roosevelt: Charging Up San Juan Hill

Theodore Roosevelt brought a completely different energy to both the military and the presidency. When the Spanish-American War began, he resigned from his comfortable post as Assistant Secretary of the Navy to form the First U.S. Volunteer Cavalry. Better known as the Rough Riders, this diverse group of cowboys, miners, and college athletes saw intense combat in Cuba. Roosevelt led from the front, charging up Kettle Hill on horseback. His bold, action-oriented military service perfectly mirrored his energetic, progressive approach to governing the country a few years later. He believed in strenuous effort, a philosophy he lived out both in uniform and in the Oval Office.

Harry S. Truman: The Artillery Officer

Between the Rough Riders and the heroes of World War II, Harry S. Truman made his mark during the First World War. Truman didn't have to serve; his poor eyesight initially disqualified him, and as a farmer, he was exempt from the draft. Yet, he memorized the eye chart to enlist and eventually commanded an artillery battery in France. He earned the respect of his men by leading them through grueling combat without losing a single soldier under his direct command. That straightforward, no-nonsense leadership style became a hallmark of his presidency, particularly when he faced monumental decisions at the close of the Second World War.

The World War II Generation

The mid-twentieth century saw a wave of veterans enter politics, driven by their experiences in World War II. Dwight D. Eisenhower is perhaps the most famous example. As the Supreme Allied Commander, he orchestrated the D-Day invasion, managing complex logistics and the clashing egos of Allied generals. Eisenhower was a master of diplomacy and strategic planning, skills that defined his two terms as president during the early days of the Cold War.

On the other end of the military spectrum was John F. Kennedy. Instead of commanding armies from a headquarters, Kennedy was a young Navy lieutenant commanding a patrol torpedo boat in the Pacific. When a Japanese destroyer rammed his vessel, PT-109, Kennedy swam for miles towing a wounded crewmate to safety. His heroism under fire resonated deeply with the American public, projecting a youthful, courageous image that helped propel him to the presidency.

Duty in the Modern Era

The tradition of military service continued with later presidents. George H.W. Bush enlisted in the Navy on his eighteenth birthday, becoming one of the youngest naval aviators in the fleet. He flew torpedo bombers in the Pacific theater and was even shot down over the ocean, surviving a tense rescue by a submarine. His life-or-death experiences in combat gave him a grounded, measured perspective on foreign policy when he later became Commander-in-Chief.

Even presidents who didn't see active combat roles spent formative years in the service. Jimmy Carter graduated from the Naval Academy and served as a submariner, working on the early development of nuclear propulsion systems. This highly technical and disciplined environment shaped his meticulous approach to problem-solving during his administration.

Shaping the Commander-in-Chief

Serving as the Commander-in-Chief requires making life-altering decisions regarding the deployment of troops. For the presidents who spent time in the barracks, on the ships, or in the trenches, those decisions weren't strictly theoretical. They knew the physical and emotional toll that combat takes on service members and their families. Their time in the military taught them discipline, strategic thinking, and the true meaning of public service. From the Revolutionary War to the modern era, that foundational experience in uniform helped shape the men who shaped the nation.

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The growing use of AI coding agents is changing the challenge facing software engineering teams. Generating code is becoming faster, but determining whether those changes are safe to release requires a deeper understanding of how software behaves under real production conditions.

Hud says AI now generates or assists with 42% of the code developers ship, with that share expected to reach 65% by 2027. As that percentage grows, the companies argue that engineering teams need a way to connect AI-generated changes with the operational reality of the applications they affect.

That is the focus of a new integration between ClickHouse and Hud. The integration connects ClickStack, ClickHouse’s open-source observability stack, with Hud’s Runtime Code Sensor to support workflows spanning code review, deployment, verification, and production troubleshooting.

“AI is accelerating how quickly teams can generate code, but safely shipping it with high confidence requires production context,” said May Walter, CTO of Hud. “Hud and ClickHouse bring real production behavior at an unparalleled breadth and depth, so teams can build a production-aware AI SDLC: gating changes before they ship, proactively verifying them once deployed, and fixing issues as they arise - all using real runtime truth. Together with ClickHouse, we are bringing that intelligence across the entire AI SDLC.”

Connecting the Operational Picture to the Code

The integration combines two different layers of information. ClickStack provides broad visibility across applications and infrastructure, helping teams identify the service, deployment, or endpoint involved in an issue. Hud operates at the code layer, connecting production behavior to the functions and changes responsible for it.

The platforms can be connected by a coding agent through shared trace IDs. This allows an engineering workflow to move from an issue identified in ClickStack directly to the corresponding code-level context in Hud.

“Our users already trust ClickHouse to store and query their Open Telemetry data at scale,” said Mike Shi, Head of Observability of ClickHouse. “The shift now underway is from simply watching systems or investigating issues to using that data to make day-to-day engineering decisions. Hud connects observability data to the code and changes behind it, making the entire stack more useful for teams building and shipping software with AI.”

The result is intended to make production data useful beyond traditional monitoring and troubleshooting. Engineering teams can use the information to inform decisions about changes before they reach production, as well as investigate those changes afterward.

Runtime Intelligence Before and After Deployment

The Hud+ClickStack integration supports pre-deployment risk assessment, allowing changes to be evaluated against real-time information about how affected code behaves in production. Higher-risk changes can be held for additional review and deeper context, while safer changes can move faster or be automatically merged.

The workflow continues through release verification and production operations. The integration supports automatic reversion upon regression, automated detection and investigation, agentic workflows that can create pull requests for code-level fixes, and rollback and remediation workflows.

That is particularly relevant when a production issue starts with a relatively small change. A query may slow down, a function may behave unexpectedly under a specific workload, or a code path may consume additional resources. Hud is designed to detect these issues at the function level and provide forensic context, while ClickStack supplies the wider operational picture.

“Like every modern engineering organization, a growing share of our code is now written with AI,” said Rom Kadria, Senior Software Engineer, monday.com. “We write code much faster, but the challenge has shifted to shipping just as quickly while maintaining confidence that new code won’t cause harm. ClickHouse gives us the wide operational picture at scale, while Hud gives us the runtime intelligence and next-level introspection needed to evaluate and ship AI-generated code confidently. When issues do arise, combining ClickHouse and Hud allows us to triage and resolve them quickly. For a company building with AI, that combination is the obvious choice.”

Building Around Production Reality

The companies say the integration is designed to give coding agents access to more than static code or isolated alerts. Runtime operational data, function-level context, and application behavior can instead become part of the development workflow.

For engineering teams, that means the same production information can support several stages of the lifecycle: assessing a proposed change, verifying its behavior after deployment, and investigating or fixing problems when they appear.

Teams can get started by installing the Hud SDK and connecting it to their ClickStack service. Hud’s runtime intelligence then flows alongside the OpenTelemetry data teams already collect.

As AI-generated code becomes a larger part of software development, ClickHouse and Hud are positioning runtime behavior as an increasingly important source of engineering context. Their integration is designed to connect what developers and coding agents change with what applications actually do in production.

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The IDE extension ecosystem is split for reasons that have nothing to do with security.

Microsoft’s VS Code Marketplace terms explicitly forbid non-Microsoft products from connecting to it. That restriction left VSCodium, Eclipse Theia, Cursor, Windsurf, Kiro, and Antigravity without a first-party source for the tooling their users expect. Open VSX, an open-source and vendor-neutral marketplace under the Eclipse Foundation umbrella, exists to fill that gap.

Bloom Security‘s new research shows what happens when a licensing boundary becomes a data boundary. Content flows between the two ecosystems through mirroring. Mirroring is imperfect. And imperfect mirroring, the company found, produced a supply chain vulnerability spanning both marketplaces, touching more than 750 extension packs and over 500,000 downloads.

The Gap Mirroring Leaves Behind

Not every extension on the VS Code Marketplace makes it to Open VSX.

That creates a specific failure mode when a pack crosses over without all of its contents. The pack arrives with its manifest intact, listing bundled extensions that were never mirrored. Bloom Security calls the result a Shadow Dependency: a dangling reference inside a trusted bundle, aimed at an extension that does not exist on the marketplace.

A second, simpler route produces the same artifact. An extension gets deleted while a live pack still references it. The pointer outlives the target.

Both marketplaces accepted these packs without complaint. Neither validated that bundled extensions existed at submission time. Bloom Security names that missing dependency check as the root cause.

Registration Was the Second Half

Extensions carry a composite identity: publisher plus extension ID on the VS Code Marketplace, namespace plus extension ID on Open VSX. Resurrecting a removed extension therefore demands control of the original publisher or namespace, not just the ID.

On both platforms, that control was available for the asking. Namespaces and publishers were freely registerable regardless of whether published software already referenced them. No account needed compromising. An attacker claims an unclaimed name and publishes into it.

Bloom Security’s scan gave the exposure dimensions. Open VSX held 94 of 321 extension packs with at least one shadow dependency whose namespace nobody had registered. The VS Code Marketplace held 677 of 4,179 packs with at least one shadow dependency, 60 of them under an unregistered publisher.

Proof, and the Rejection That Preceded It

Two live examples served as tests. On Open VSX, prettify-json inside the mohsen1 namespace. On the VS Code Marketplace, control-snippets under the svipas publisher. Both bundled by pre-existing packs. Neither present on its marketplace.

The first attempt at publishing an exact version match on Open VSX was rejected, and the rejection message proved more useful than a success. The marketplace already held an internal pointer to the extension, a ghost record inherited from the mirrored pack’s manifest, and refused the version because the index treated it as existing.

Incrementing the version defeated the check. Packs reference bundled extensions by ID and do not pin versions, since requiring individual updates would undermine the centralized management that makes a pack useful. Any newer version satisfies the dependency. The extension published. The pack’s link resolved to it almost immediately.

The Growth Curve Behind the Numbers

Context matters for how quickly a flaw like this scales.

In the first six months of 2026 the VS Code Marketplace nearly doubled in size. Across both marketplaces, roughly 1,400 new extensions arrive daily. AI has let development teams move at a pace that produces an explosion of new software releases, and extension catalogs absorb that output directly.

More packs mean more manifests. More manifests mean more references. More references mean more opportunities for a pointer to outlive its target.

Cost Model for the Attacker

The economics here favor the attacker to an uncomfortable degree.

There is no phishing campaign to run. No registry to compromise. No convincing fake to build and market. The trusted bundle supplies the credibility, and the phantom namespace supplies the delivery. Bloom Security’s own framing of that dynamic appears in the writeup as a callout:

“The attacker doesn’t need to phish a developer, compromise a registry, or publish a convincing fake. The trusted bundle does the social engineering. The phantom namespace does the rest.”

Delivery reaches beyond new installs. Bundled extensions inherit auto-update settings from the pack, and the default enables them, so a pack installed years ago under default configuration can pull in resurrected code on its next update cycle.

Execution is unrestricted. Extensions across VS Code and compatible IDEs run with Node.js host access covering file operations, child processes, and outbound network calls. Bloom Security notes that an extension is not sandboxed in any meaningful sense where code execution is concerned. Installing a malicious one is remote code execution on the developer’s machine.

The victim pool is almost exclusively software developers, who hold source repository access, cloud credentials, deployment pipelines, and internal tooling. From the aggregate half-million downloads, and assuming very conservatively that half had auto-update enabled, the research projects a quarter of a million compromised developer endpoints inside 24 hours.

Divergent Vendor Handling

The two marketplaces responded on very different timelines, which is instructive for anyone assessing platform risk.

Eclipse Foundation received the report on February 5, 2026, and assigned all at-risk namespaces to the open-vsx account within hours, closing the registration path. It committed to blocking creation of packs referencing non-existent bundled extensions and extensions declaring non-existent dependencies. Both checks are implemented and enforced. Triage also revealed that Open VSX extension dependencies were subject to the identical vulnerability.

Microsoft received the report on February 17, 2026, with a full proof of concept and video demonstration. MSRC’s opening assessment placed it at Moderate severity and cited existing publisher resurrection prevention. Bloom Security pushed back with the video evidence and additional evidence of re-registering removed publishers, and Microsoft reopened the case. Engineering then confirmed a partial October release, with prevention active for admin actions since October and for user actions only as of that month. The staged rollout spanned October 2025 to June 2026 and is documented at github.com/microsoft/vsmarketplace/discussions/1708. Microsoft acknowledged that completion followed the report and added the researcher to its public security researcher acknowledgement page, without any data regarding why or any mention of the issue.

For operators, Bloom Security’s guidance reduces to two controls: validate that all bundled extensions and declared dependencies exist at pack submission, and protect namespaces referenced in existing published packs from open registration. Phantom pointers in a package index, the company argues, are not a data quality problem. They are attack surface. Open VSX addressed both points decisively and stands as the model.

Bloom Security has also published a detection script for identifying affected packs on individual endpoints, alongside tables of impacted bundles from both marketplaces.

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Reclaim Security is adding an experienced cybersecurity sales executive to its leadership team as the company looks to expand its presence in the U.S. enterprise market.

The company has appointed Stephen Wadsworth as Vice President of Sales, giving him responsibility for its U.S. go-to-market operation. Based in Boston, Wadsworth brings nearly two decades of cybersecurity sales experience and a background that includes helping build sales organizations at companies that were later acquired by major security vendors.

Wadsworth was an early sales leader at Luminate Security, which was acquired by Symantec, and most recently led sales at Entitle through its acquisition by BeyondTrust. His career also includes leadership roles at Threat Stack, Banyan Security and Cyolo.

The appointment comes as Reclaim seeks to scale its revenue engine around growing enterprise demand for automated exposure remediation.

From Security Findings to Fixes

Reclaim’s pitch centers on a familiar challenge for security teams: discovering an exposure does not necessarily mean fixing it.

Security organizations have access to an expanding number of tools capable of identifying issues across their environments. But those findings can accumulate faster than teams can investigate, prioritize and remediate them.

Reclaim’s AI Security Engineer is designed to address that gap. The platform discovers exposures across endpoint, email, identity, browser and cloud environments, plans business-aware fixes and executes them across the existing security stack.

The company says customers including Telit Cinterion, Pine Gate Renewables and Eastern Pacific Shipping use Reclaim to turn lists of findings into implemented fixes. Reclaim typically demonstrates value within a 10-day proof of value, according to the company.

Wadsworth sees this shift toward outcomes as an important change in how security leaders evaluate their technology investments.

“I’ve spent my career skating to where the puck is going,” said Wadsworth. “CISOs don’t need more security tools, they need more value from what they already pay for. Every CISO I’ve spoken to in the last 6–12 months is tired of being told they have more problems to fix. The market is hungry for outcomes. As adversaries increasingly abuse frontier models at scale, continuous, real-time prevention needs to be the focus — and Reclaim is built to turn findings into implemented fixes without disruption.”

Experience From Companies That Scaled

Wadsworth’s background is notable because much of it has involved cybersecurity companies navigating important growth periods.

At Luminate Security, he was an early sales leader before the company was acquired by Symantec. At Entitle, he most recently led sales before its acquisition by BeyondTrust. His other leadership positions include Threat Stack, Banyan Security and Cyolo.

That experience will now be applied to Reclaim’s effort to expand its U.S. sales organization.

“Stephen has built the sales organizations behind some of the most consequential security companies of the last decade,” said Barak Klinghofer, co-founder and CEO of Reclaim Security. “The industry has spent ten years getting better at finding and prioritizing exposures and barely moved on fixing them. Visibility without remediation is noise. With Stephen leading sales, we’re scaling the team that fixes what everyone else only finds.”

For Reclaim, the distinction between visibility and remediation is central to its market positioning. The company describes itself as a preemptive exposure remediation provider rather than another source of security findings.

A Company Moving Into Its Next Phase

The new sales leadership follows a period of financial momentum for Reclaim. In March 2026, the company announced a $20 million Series A led by Acrew Capital, with participation from QP Ventures and Ibex Investors. The financing brought its total funding to $26 million.

Reclaim has also published customer results from organizations including Telit Cinterion, Pine Gate Renewables, Competitive Power Ventures and Aqua Security.

The company’s broader strategy is to help enterprises get more value from the security infrastructure they already own. Its AI Security Engineer spans endpoint, email, identity, browser, operating system and cloud environments, with the goal of turning identified exposures into implemented fixes.

Wadsworth’s arrival adds sales experience to that proposition at a time when Reclaim is looking to expand its U.S. business. The immediate challenge will be converting the company’s remediation approach, funding and customer traction into a larger commercial operation.

For Reclaim, the opportunity is ultimately about changing the measurement of security effectiveness. Finding an exposure creates visibility; fixing it creates an outcome. The company is betting that enterprises are increasingly ready to prioritize the latter.

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