Archive for October 13, 2026

Anthropic warns AI could self-replicate across IoT devices within months 

Posted in Commentary with tags on October 13, 2026 by itnerd

Anthropic researchers warn that small AI models could be just months away from autonomously replicating across internet-connected IoT devices, including smart TVs, ovens and other household electronics, without relying on centralized data centers, according to new research.

In testing, a 9-billion-parameter AI model successfully ran on eight of nine hardware types, while models with 30 billion parameters or fewer completed many individual steps required for self-replication. Researchers also demonstrated a 26-billion-parameter model operating across 15 inexpensive Android TV boxes.

Anthropic warned that AI-powered worms could exploit poorly secured IoT devices, adapt to unfamiliar hardware, spread without human intervention, unlike traditional malware relying on centralized infrastructure, these distributed AI systems could be difficult to shut down.

Researchers said current models cannot yet reliably complete the full replication process on tested IoT hardware, but that capability could emerge within months.

John Strand, Owner, Black Hills Information Security:

“We are now firmly in the land of science fiction. Unfortunately, it’s not fiction. We’ve been looking at self-replicating worms and botnets like Carna for decades. The concern has always been their ability to spread. What makes this different is that AI has the capability to identify vulnerabilities, exploit them automatically, and then replicate across devices, instead of relying on an existing vulnerability.

“The biggest takeaway is that smaller models have many of the same capabilities as cutting-edge frontier models. They just take longer. When you see reports about high-end research models like Mythos, understand that smaller models running on systems with around 128 gigabytes of memory are still in the ballpark. They may not be as good or as fast, but defenders have to be ready for them.”

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Darin Fredde, Sr. Director of Technical Marketing Engineering, Ridge Security Technology Inc.:

“Anthropic’s research highlights an interesting shift in the threat landscape. We’ve spent years worrying about securing IoT devices, and now we’re exploring a future where your smart TV might do more than recommend what to watch. It could become part of a distributed, autonomous attack infrastructure. That’s quite an upgrade, and not one I’d recommend.

“From my experience in offensive security, the question isn’t simply whether an AI model can replicate, but what it can accomplish after gaining a foothold. Can it discover other devices, cross trust boundaries, exploit weaknesses, establish persistence, and continue operating without centralized infrastructure? Those are the attack paths we need to test, not just theorize about.

“Anthropic demonstrated important building blocks, including successful propagation in a simplified, controlled environment using a larger model. But that doesn’t mean smaller models can reliably spread autonomously across real-world IoT environments today. There’s a difference between demonstrating capability and proving operational reliability, and that distinction matters.

“The objective isn’t simply to detect the next AI-powered worm. It’s to understand where our architectures would allow it to spread, validate the controls intended to contain it, and produce evidence that those defenses actually work. After all, the last thing we need is a smart oven that decides lateral movement is part of the recipe.”

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Steven Swift, Managing Director, Suzu Labs:

“There’s a lot of fearmongering about AI escaping containment, hacking its way into resources and then completely losing control over it. The research Anthropic performed on self-replicating AI directly addresses the feasibility of this in IoT devices, as these tend to have low to zero security controls in place, making them an easy target.

“Lets be clear on what self replication means. Because it sounds bad.

“AI uses model weights to function. To replicate to another system it has to 1) access that system remotely, 2) download its own model weights, and 3) setup a loop so the model can prompt itself to go find more hosts to replicate to.

“It needs to be noted that without an orchestration layer, there’s no way to direct the swarm of replicated agents. They’ll just keep executing the same loop indefinitely.

“This concept isn’t new. We call self replicating malware worms. Self replicating AI is then more accurately thought of as a regular worm style malware, that happens to include the ability to download model weights, and then loop prompts and outputs indefinitely, using tool calls to execute functions as needed.

“We’ve had decades to get good at finding and eliminating worms from our networks. Self replicating AI powered malware is just another variant on and old technique.

“However, we’re also still releasing IoT products with effectively no security in them, that are designed to be compromised. Huge portions of IoT devices are already being used as parts of botnets, without their owner’s knowledge or consent.

“Anthropic concluded that models capable enough to self replicate don’t fit onto the limited resources found on IoT devices. They also found that models could be distributed over multiple IoT devices, allowing for more sophisticated models to run on limited hardware. This wouldn’t be self replicating anymore, as it requires an orchestration layer. Although you could simply have the worm run at the orchestration level, but because it requires more resources to run larger models, it would be limited to targeting higher powered systems, which would expose it to more traditional security counter measures, such as EDR.”

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John Carberry, Solution Sleuth, Xcape, Inc.:

“Autonomous AI self-replication across enterprise-adjacent Internet of Things (IoT) hardware introduces immediate operational and liability risks by turning unmanaged perimeter devices into decentralized attack platforms without datacenter reliance. Yet self-replicating software is not new. The first was the Christmas Tree worm in 1987, closely followed by the Morris Worm in 1988, both of which wreaked havoc on existing networks, including what we now call the Internet. Anthropic’s research highlights a modern twist through distributed weight sharding across consumer electronics, meaning traditional centralized egress kill switches will fail to neutralize localized infections. Rather than panicking over speculative model autonomy, security leaders must prioritize fundamental architecture: isolate peripheral electronics into segmented subnets, disable unauthenticated management interfaces, and eliminate default credentials before automated propagation becomes viable.”

“Critical Takeaways

  • Self-propagating code is an established threat pattern, but sharding model weights across local consumer devices bypasses traditional datacenter-level kill switches.
  • The immediate operational vulnerability lies in unpatched remote execution flaws and default administrative credentials on edge hardware, not emergent artificial intelligence.
  • Defensive priorities remain architectural: segment peripheral devices into isolated networks and enforce strict access controls to prevent hardware from serving as lateral pivot points.

“We spent nearly four decades hardening networks against self-replicating worms only to invite them back in through unpatched conference room displays.”

ㅤThis shows that AI can’t be trusted. Which means that you have to gatekeep the daylights out of it if you want to use it. Consider this your 2 minute warning.

ISACA finds AI governance and training gaps as enterprise adoption grows as CEO warns of mounting compliance challenges

Posted in Commentary with tags on October 13, 2026 by itnerd

ISACA is warning that organizations lack the training and governance needed to manage growing AI adoption, with only 32% of digital trust professionals believing their organizations adequately address AI risks involving privacy, bias and security. The findings were discussed at ISACA’s European conference on October 8, alongside plans for a new Advanced in AI Governance certification.

According to ISACA research, 54% of organizations are onboarding or implementing AI solutions, up from 46% in 2024. However, a 2025 survey of more than 3,000 digital trust professionals found that 32% reported no AI training for employees.

ISACA plans to launch its AI governance certification in early 2027, adding to existing credentials covering AI auditing, security management and risk. The organization said cybersecurity professionals increasingly need skills in AI oversight, configuration and monitoring as automation takes on more technical tasks.

Separately, ISACA CEO Erik Prusch warned that complying with emerging AI regulations could be significantly more challenging than implementing the Sarbanes-Oxley Act, describing it as “SOX on steroids.” He said businesses may need to establish compliance controls five to ten times faster, despite uncertainty around accountability, reporting requirements and overlapping regulations. Prusch warned that companies failing to establish adequate AI governance could face lawsuits and significant financial consequences.

Ryan McCurdy, VP of Marketing, Liquibase:

“The gap ISACA is pointing to will get a lot harder to manage as AI starts doing more of the actual work. Training employees and having an AI policy is important but what happens when an AI agent can deploy code, change a database, or take action against another critical system? At that point, having a policy that says what the AI should do isn’t enough. You need controls that determine what it can actually do.

“That’s why I think the SOX comparison is interesting. A big part of SOX was putting controls in place and then being able to prove those controls were followed. With AI, we’re potentially dealing with a much larger number of decisions happening much faster. Having a person review every one of them probably isn’t realistic.

“Companies will have to decide what AI can decide on its own, what can be handled through policy, and what actually needs a person involved. If an action meets the policies you’ve already established, let it move forward. If it doesn’t or the risk is higher, then bring someone in.

“You also need a record of what happened. If an AI agent makes a production change, I want to know what it changed, what policies it passed, what authorized it, and what actually reached production. It seems obvious but if we’re going to give AI more authority to act on its own, we also need to be able to prove what it did.”

ㅤIf you want my view, I say that companies will figure it out if there are fines, criminal charges, etc. And chances are that they will heavily keep AI locked up or heavily restrained.

October Patch Tuesday: The real problem isn’t the number of vulnerabilities

Posted in Commentary with tags on October 13, 2026 by itnerd

1,413 vulnerabilities in October can make patching feel unmanageable, but Tyler Reguly argues that volume alone is a distraction. With 26 2026 Microsoft CVEs appearing in CISA’s KEV catalog, security leaders should focus on exploitable risk, and ask whether their teams have the clarity, capacity and support to act.

By Tyler Reguly, Associate Director, Security R&D, Fortra

Recently, I’ve argued that numbers are meaningless. This month’s number, 1413, is no different. There are, however, numbers that hold meaning. 26, for example, is how many 2026 Microsoft CVEs have shown up in the CISA KEV. Last year, that number was 30, and the year before was 32. That means less than 1% of vulnerabilities patched by Microsoft this year are known to be exploited. That’s an important number… but 1413 definitely isn’t.

I’ve talked to some people recently who’ve commented on the number of vulnerabilities announced this year, and I’ve spent a lot of time trying to think of how to explain it to them.

In the US, there are around 5000 movies available in the Netflix catalog depending on which source you look at. At any given moment, you care about one or two of those movies – the one you want to watch and, maybe, the one you want to watch next. The rest are just background noise. You prioritize those movies based on what you want to see, which is decided by your preferences. You don’t need to care about every vulnerability, just the one you are going to patch next, which you prioritize based on factors that matter to your organization. The rest of the vulnerabilities… background noise, no different than that random 1970’s creature feature that keeps showing up on your recommendations, even though you’ll never watch it.

“Pop Quiz, Hotshot” has always been one of my favorite quotes and today I’m directing that statement toward all the CISOs out there with teams actively working on Patch Tuesday. I want each of you to ask yourselves these 5 questions, to see if you really understand those teams work and if you are setting them up for success.

  1. Is your team feeling patch fatigue – how tired/stressed are they?
  2. Do you and your team truly understand your organization’s prioritization metrics?
  3. How complete is your organization’s asset inventory?
  4. Are you adequately resourced in terms of people, hardware, and software?
  5. What single wish list item do they have that would make their lives easier? Have you ever asked?

The answers to these questions may open your eyes to the needs of your team and help make them a happier, more productive group of individuals.

French Supermarkets Pwned In Overnight Cyberattack

Posted in Commentary with tags on October 13, 2026 by itnerd

You might want to get about securing critical infrastructure of all sorts. I say that because French supermarkets were pwned in epic fashion. Everyone is reporting on it. I happened to pick Time Magazine:

The Paris prosecutor’s office opened an investigation on Monday into an overnight cyberattack on refrigeration systems at hundreds of French supermarkets. Hackers raised the temperature of refrigerators and freezers, sparking fires and causing food to spoil.

In a statement to TIME, French retailer Les Mousquetaires, which runs supermarket chains Intermarche and Netto, said damage from the attack could amount to several million euros in losses.

“Targeting equipment essential to the preservation of fresh products and to the food supply of the French people is of extreme gravity and is unprecedented,” Dominique Schelcher, CEO of French supermarket chain Cooperative U, posted on X.

France’s National Cybersecurity Agency (ANSSI) confirmed to TIME that it is investigating the attack “both at the national level, to accompany potential victims, and at the European level to coordinate with its counterparts.” 

Maggie McDaniel, Global Head of Intelligence, iCOUNTER had this to say:

“Nobody had to break into hundreds of supermarkets one at a time. Retailers say the refrigeration controllers were managed by suppliers and maintenance contractors working across several chains, so one kind of access reached many brands in a single night. Attackers look for exactly that kind of shared supplier when picking a target. It also shows a gap in how most organizations think about third-party risk. Vendor programs usually focus on software providers and IT service firms. The contractor who can reach your store’s cooling system from outside rarely gets the same scrutiny, even though, as this showed, losing that system means throwing out food and closing stores. Some of these organizations never bought the equipment directly, because it came in through contractors. Retailers should start by mapping which suppliers can reach their store equipment remotely, which of those systems no longer get security updates, and how that access is controlled and logged. The intelligence question matters just as much. Security teams should be watching for attackers targeting their suppliers, not only themselves, because when one shared supplier is compromised, every customer it serves is exposed at once. An annual vendor questionnaire won’t show you what a supplier has left connected to the internet.”

Attacks on critical infrastructure are here. It’s beyond time to do something about this. So if you need a wake up call, consider this to be it.

UPDATE: More content has come in:

John Strand, Owner, Black Hills Information Security:

“This is exactly the type of story we need to be focused on. There is still so much focus on protecting endpoints, servers, and web applications. All of that is important. But I think some of the biggest damage we’re going to see will involve IoT devices.

“These devices don’t get regular patches. They don’t get advanced EDR. Many times, they don’t even get simple firewalls because they’re installed in mom-and-pop convenience stores all over Europe and the United States. I don’t think we, as a society, are ready for that.

“Corporations take responsibility for protecting their employees, their systems, and their data. But when somebody builds a connected refrigerator, we tend to look at it as a product rather than an enterprise asset. Once it’s sold, the expectation is that the shop that owns it is responsible for securing it. And a lot of those shops have zero information security practice.

“A connected freezer is just one example. The bigger question is how we reach those small businesses and get security into their environments, either directly or through the MSPs and MSSPs that serve them.”

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Denis Calderone, CTO, Suzu Labs:

“Here is another example of converged OT devices sitting directly on the public internet. These refrigeration controllers often have default credentials or no meaningful authentication at all. Some units also have a documented “code-of-the-day” bypass that takes advantage of a predictable code that can be trivially calculated to gain access. This is all to say that the attackers didn’t need a zero-day in this case, they basically just walked right in. Once in there the attackers just used the software’s intended functionality to force the refrigeration units into a forced defrost mode, raising temps to 50C (122F)

“What’s interesting here is that Claroty Team82 stood on a DEF CON stage in August and demonstrated exactly this scenario, including the ability to falsify temperature readings while disabling cooling. Two months later, someone operationalized it across five countries and hundreds of stores. In this case all of the models that were part of this attack are end-of-life between 2016 and 2021. You cannot remediate your way out of this because the device manufacturer stopped supporting these at least three years ago; you can only segment it, monitor it, or replace it.

“Then there’s the insurance question, which I think is where this story gets genuinely ugly for operators. Intermarche has already flagged that their policies may not cover this. Property insurance increasingly excludes cyber events. Standalone cyber insurance covers data breaches and network downtime, not 40,000 euros of spoiled dairy and a fire-damaged compressor room. When individual store losses run from 50,000 to 220,000 euros and you have 500-plus locations, you are looking at a coverage void that no one priced into their risk model. Let’s face it, nobody’s broker was asking “what happens if someone remotely cooks your inventory?” during the last renewal conversation.

“So what do you actually do tomorrow morning? Get every HVAC and refrigeration controller off the open internet. Full stop. Run the Censys or Shodan query yourself before someone else does. Inventory what you have, what firmware it’s running, whether it’s EOL. And if your facilities contractor knows the answer and you do not, that’s where you start. You don’t need a six-month OT assessment program. You need a list, a network segment, and a plan for the devices that will never see a patch. Start there.”

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Ashley Knowles, Sr. Cyber Security Consultant, Black Hills Information Security:

“We talked about this on the news yesterday. This reminded me of the Target attack where attackers obtained access through an HVAC contractor’s credentials. As of right now though, there’s a lot of missing details such as how they got in and no one is claiming responsibility. The biggest issue, as I see it, is that Danfoss stated the majority of the affected units were end of life and discontinued 5-10 years ago.

“We highlight this often in our tests; end of life units don’t receive updates or support from vendors. So new vulnerabilities will remain unresolved. IoT devices may have default credentials, exposed management interfaces, or missing patches. They are often plagued by the end of life issue due to budget constraints or the “if it isn’t broke – don’t fix it” ideology.

“What I can advise as a key takeaway from this incident is reviewing the organization’s attack surface, including how devices connect to vendors, what remote access vendors have, and what that exposure looks like. Keep devices updated and segment devices that can’t be replaced or updated, prioritizing devices that are internet facing.”

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Damon Small, Board of Directors, Xcape, Inc.:

“Physical product spoilage and costly asset damage represent the immediate financial toll when adversaries shift from corporate data extortion to operational technology sabotage. The disruption across French grocers demonstrates this exposure clearly. While threat actors remain the undeniable criminals in these incidents, operators must be held accountable for maintaining poorly configured environments. Danfoss patched the exploited firmware vulnerabilities nearly a year ago and advised facility managers to keep administration interfaces behind firewalls and VPNs. It remains unclear whether the vendor that installed these refrigeration units also configured the software, but accountability cannot be entirely outsourced. If a criminal breaks into a house because the owner left the front door wide open, the owner shares part of the blame. To mitigate this exposure, security teams must immediately sever control interfaces from the public Internet, place maintenance access behind segmented networks requiring multifactor authentication, and apply long-available updates.”

“Critical Takeaways:

  • Failure to apply year-old vendor patches and properly segment operational technology directly enables physical sabotage and total inventory loss.
  • Security leaders must establish clear lines of responsibility for network configuration when relying on third-party installers or integrators.
  • Restricting administrative interfaces behind firewalls and VPNs remains a mandatory baseline to prevent trivial unauthorized access.

“The attackers may be the perpetrators, but leaving the administration software exposed makes the victim an accessory to their own downtime.”

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Josh Marpet, Senior Product Security Consultant, Finite State:

“The EU Cyber Resilience Act has a significant end of support model that is intended for exactly this scenario. End of Support, under the EU CRA, is not a set time, such as 1 or 5 years. It is minimally 5 years, and as long as the expected lifetime of the product is.  Under this, if the refrigeration systems are expected to last 20 years, support and security patches must continue for 20 years. Food safety is critical infrastructure, and the consequences of issues with food handling can be sickness and/or death.”

UPDATE #2: Johan Edholm, Security Engineer and Co-Founder at Detectify said this:

“This attack didn’t require any advanced techniques. From what’s been reported, the attackers got into refrigeration controllers whose management interfaces could be reached from the internet, and some of those units were old enough that they no longer receive security updates. Nobody thinks of a fridge controller as part of their IT, but if it’s online and reachable, it’s part of the attack surface.

“It also shows why defenders keep falling behind. Adversaries don’t have to deal with procurement or keep hundreds of stores running, and searching the internet for anything exposed is work they increasingly hand to automated tools and agents that never stop looking. Defenders are often still keeping track of equipment by hand, across hundreds of sites and systems built to run for many years. That can’t keep pace, which is why defenders need agents of their own, equipped with security tools they can trust, to find exposure as quickly as attackers do.

“The fundamentals haven’t changed, but the speed and volume have. Researchers had already found thousands of these management interfaces online before this happened, and the risk sits in the gap between knowing about a weakness and closing it. Start by knowing everything you have connected to the internet, including equipment that was never meant to be IT, and take management interfaces off the open internet. Then design the network so that if one device is compromised, the blast radius stays small and it can’t be used to reach anything else.”

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Ridge Security Launches RidgeOne, a Self-Contained Appliance for AI Pentesting and Red Teaming

Posted in Commentary with tags on October 13, 2026 by itnerd

Ridge Security today announced RidgeOne, a self-contained solution that brings autonomous AI-powered penetration testing and agentic red teaming to mid-sized organizations. Combining Ridge Security’s RidgeGen® agentic security validation platform with an open-weight AI model running on NVIDIA DGX Spark, RidgeOne enables organizations to perform deep security testing within their own environment without sending sensitive testing data to an external AI provider or incurring ongoing AI token costs. Ridge Security is also joining the NVIDIA Inception Program, which provides startups with resources and support to help accelerate the development of innovative technologies.

For organizations with limited AI or security resources, accessing advanced security testing capabilities can be a challenge. RidgeOne is designed to make autonomous security testing easier to deploy and more accessible, giving organizations a way to use AI-driven offensive security without having to build their own AI infrastructure or maintain a separate AI environment.

RidgeOne is designed to provide several practical advantages:

  • Easy to deploy. RidgeOne provides AI-powered security testing without requiring organizations to build and maintain separate AI infrastructure.
  • Predictable costs. Running an open-weight model locally eliminates ongoing token costs associated with external AI services.
  • Portable. The appliance can be moved and deployed across different network segments, making it useful for organizations with distributed or segmented environments.
  • Deep security testing. RidgeOne can autonomously test IT infrastructure, networks, web applications, APIs, Active Directory, hosts and IoT/OT environments, including multi-step attack paths.
  • Private by design. Testing activity and sensitive security data remain within the customer’s environment rather than being sent to an external AI provider.

The solution is built around a validated reference configuration based on the NVIDIA DGX Spark compact AI system, with 128 GB of unified memory shared between the AI model and RidgeGen. RidgeOne can be deployed in a VMware environment and brought online in five steps, without requiring customers to build separate AI infrastructure.

In testing, Ridge Security ran RidgeOne against OWASP Juice Shop and completed a full autonomous penetration test without operator involvement. The assessment produced 32 verified findings, including 19 critical and high-severity findings, over approximately 10 hours, without making any external AI calls. The system also connected separate findings into a multi-step attack path.

That ability to connect the dots is central to RidgeGen. Rather than stopping at individual vulnerabilities, the platform can reason across findings, test whether weaknesses can be chained together and provide evidence that security teams can use to prioritize fixes.

As attackers increasingly use AI to automate and accelerate their operations, organizations need ways to put the same technology to work on the defensive side. RidgeOne gives security teams a portable way to bring autonomous testing capabilities into their own environments, whether they are testing a corporate network, a restricted segment or a different environment altogether.

RidgeOne is now available for organizations looking to deploy private, autonomous security testing within their own environments.

Airrived Named a Leader in the IDC MarketScape: Worldwide Standalone AI SOC Platforms 2026 Vendor Assessment

Posted in Commentary with tags on October 13, 2026 by itnerd

Airrived has been named a Leader in the IDC MarketScape: Worldwide Standalone AI SOC Platforms 2026 Vendor Assessment (doc # US54127026, September 2026).

Airrived Co-founder and CEO Anurag Gurtu said, “Being named a Leader in the IDC MarketScape for standalone AI SOC platforms is recognition of a problem security teams already know. Alert volume has outrun headcount, and a copilot on top of the existing stack does not close that gap.

Airrived turns business users into AI experts.

Airrived, a Gartner Cool Vendor in Agentic AI Security, is an enterprise-grade Agentic OS and Sovereign AI Platform that lets business and domain experts build, deploy, and govern autonomous AI — without becoming AI engineers.

Users bring the domain expertise. Airrived brings the reasoning, enterprise context, orchestration, governance, and infrastructure needed to turn that expertise into autonomous systems capable of reasoning, collaborating, deciding, and acting.

Unlike copilots, which mainly assist users, or developer frameworks, which require teams to engineer agents from scratch, Airrived lets enterprises automate complex, multi-step work across cybersecurity, IT, and business operations.

The platform combines deep reasoning, Agentic Mesh, Context Lake, multi-agent orchestration, governance, and end-to-end Agentic Observability — plus pre-built agents and applications that dramatically shorten the path from AI experimentation to production.

Built for the Sovereign AI Enterprise.

Airrived gives enterprises full control over where and how their AI runs. It can be deployed in the cloud, in customer VPCs, on-premises, on private GPU infrastructure, or in fully air-gapped environments — keeping data, models, agents, context, and AI operations under customer control at all times.

That removes a major barrier to enterprise AI adoption: organizations can put autonomous AI directly into the hands of the people who understand the business, without requiring them to master the underlying technology.

With adoption across Fortune 150 enterprises and organizations worldwide, this recognition follows a string of major product advancements from Airrived — including Agentic Observability and Sovereign Agentic AI — as the company continues advancing its vision for governed, autonomous AI across the enterprise.

Liquibase Secure Now Available in Google Cloud Marketplace and Microsoft Marketplace

Posted in Commentary with tags on October 13, 2026 by itnerd

Liquibase today announced that Liquibase Secure is now available in Google Cloud Marketplace and Microsoft Marketplace, joining its existing listings in AWS Marketplace and Snowflake Marketplace. The expanded availability is part of Liquibase’s commitment to being easy to do business with: customers can buy Liquibase Secure through the channel that fits their organization and govern database change wherever their applications and data run.

This extended availability comes as the way software is built is changing quickly. Developers are shipping more frequently, AI coding assistants are generating more code, and agents are beginning to participate across the software delivery lifecycle. That means more database change, from more sources, moving toward production faster.

Liquibase Secure gives enterprises one governed path for standardized change, whether it was written by a developer, generated with AI, or initiated through an automated workflow.

Buy Through the Cloud. Govern Across the Enterprise.

With the addition of Google Cloud Marketplace and Microsoft Marketplace, Liquibase Secure is now available in multiple marketplaces. Buying through a marketplace lets organizations work through the cloud accounts and procurement processes they already have, simplify vendor onboarding, and consolidate billing alongside their other cloud spend. Customers can continue to buy directly from Liquibase or through its partners.

More Change Requires Better Control

AI coding assistants are already generating more code, which means more database change moving through the software delivery lifecycle. Now AI is moving beyond assistance. Agents can generate SQL, modify schemas, propose migrations, and increasingly take action through automated workflows.

The problem isn’t whether a database change was written by a human or AI. The question is what governs that change before it reaches production and what evidence is left behind after it does.

That becomes even more important as software delivery becomes more autonomous. An agent may generate a change, automated systems may validate and deploy it, and no person may manually touch it along the way. Enterprises still need to know what changed, who or what initiated it, what controls were applied, and what ultimately reached production.

Liquibase Secure puts governance and proof of control directly into the database delivery process. Organizations can:

  • Automate database change through version-controlled CI/CD workflows.
  • Stop risky changes before production with automated policy checks.
  • Govern changes made by humans and AI with the same policies and approvals.
  • Maintain an audit trail for database changes made by humans and AI agents.
  • Detect drift and out-of-band change across environments.
  • Recover faster with versioned change history and rollback context.

With Change Intelligence in Liquibase Secure, teams gain centralized visibility into database deployment activity, risk, drift, and policy outcomes across environments.

As software delivery becomes more autonomous, governance can’t depend on a human being in the loop. It has to be built into the path to production.

Availability

Liquibase Secure is available now in Google Cloud Marketplace and Microsoft Marketplace.

For more information about Liquibase Secure, visit Liquibase.com.

Nearly 14 million credentials exposed in public database

Posted in Commentary with tags on October 13, 2026 by itnerd

Cybersecurity researcher Jeremiah Fowler discovered a publicly accessible database containing 13.7 million credentials. The database appeared to be connected to Vibetech, an India-based AI software development and IT services company.

The exposed database contained:

  • Personally identifiable information (PII) linked to individuals worldwide, including names, phone numbers, email addresses, passwords, and bank account details.
  • Records that appeared to have been aggregated from previous security incidents.
  • Data that could not be matched to known public breach disclosures, suggesting additional or previously unknown datasets.

You can read Jeremiah’s full findings on ExpressVPN’s blog here: https://www.expressvpn.com/research/vibetech-data-exposed

Sauce Labs Announces Support for Apple’s Foldable iPhone Duo

Posted in Commentary with tags on October 13, 2026 by itnerd

Sauce Labs today announced plans to support Apple’s new foldable iPhone Duo, with advance device reservations now open ahead of the Duo’s Friday, Oct. 23, release date. With the new form factor, teams need to verify application correctness with the new layout and other device-specific characteristics before release. Sauce Labs customers can use AURA, the company’s release assurance platform, to automatically author, run, and analyze tests against iPhone Duo.

Phone Duo pairs a 5.4-inch outer display with a 7.6-inch folding display, which changes windowing, layout, and UI interaction models. Apps built for single-screen iPhones need validation before they reach users on the new device.

What’s available

  • Real and Virtual Device Clouds: Physical iPhone Duo devices and iPhone Duo simulators are available for automated and live testing.
  • Guidance and best practices: Expert advice on adapting apps to the foldable, dual-screen UI.

Enterprises across industries have already reserved private iPhone Duo device access to validate mission-critical applications before broad consumer adoption.

Customers interested in private device access can contact their Sauce Labs account team to coordinate ordering and onboarding.

DataBee Accelerates the Future ofCyber Risk Automation

Posted in Commentary with tags on October 13, 2026 by itnerd

DataBee®, a Comcast Company, today announced major advancements to its cyber risk management platform, including the next evolution of DataBee Continuous Controls Monitoring (CCM), new innovations in DataBee Frontier AI Defense, and expanded capabilities for DataBee User Access Review (UAR). Together, these advancements help organizations automate the manual work behind monitoring controls, assessing application exposures, and reviewing user access while reducing the cost, complexity, and effort required to manage cyber risk.

At the core of the announcement is a unique AI-native federated architecture that enables organizations to analyze cybersecurity data where it resides rather than first moving, normalizing, and consolidating it for analysis. While federated analytics has long been common in domains such as financial services and customer relationship management, cybersecurity data has historically been far more fragmented, heterogeneous, and difficult to analyze across systems.

Building on years of cybersecurity data expertise and a library of more than 340 connectors, DataBee has engineered new generative AI capabilities that can connect to structured, semi-structured, and unstructured security data, calculate key measurements, and retrieve only the information needed for analysis. The result is less implementation complexity, faster time-to-value, and quicker access to actionable cyber risk insights.

Reimagining Continuous Controls Monitoring

DataBee, a Comcast company, was included as a Sample Vendor in the Continuous Controls Monitoring category of the 2026 Gartner report, “Hype Cycle™ for Cyber-Risk Management, 2026”, 27 April 2026, Deepti Gopal, Pedro Pablo Perea de Duenas.

The next evolution of DataBee CCM applies new architecture to help organizations measure control effectiveness without a major data infrastructure project. AI-assisted connector creation accelerates onboarding, while flexible monitoring enables teams to define the controls, metrics, dashboards, and frameworks that matter most to their business. Users can then Ask DataBee questions about their security control posture to identify gaps, understand risks, receive recommendations for metrics to measure specific controls, and understand changes in control risks along with guidance on how to improve.

DataBee CCM provides explainable, rigorous, data-backed measurements and enables organizations to reuse control results across multiple regulatory, security, and business frameworks, creating a simpler path to continuous risk reporting and faster answers to cyber risk and compliance questions.

Beginning this quarter, select organizations can experience DataBee CCM through a complimentary two-week trial program. Organizations interested in early access can register now to secure a place in the program.

Frontier AI Defense: From Vulnerability Findings to Faster Remediation

Every vulnerability scanner can tell teams what is vulnerable. DataBee helps them understand what matters and who can fix it.

As AI-powered attacks accelerate exploitation, modern security teams are drowning in findings while struggling to answer three fundamental questions: How important is it? Who owns it? What should we do next? DataBee for Frontier AI Defense automatically connects vulnerabilities to the business-critical applications they affect, helping organizations quickly identify the responsible owners and accelerate remediation efforts.

DataBee’s proprietary, patent-pending entity resolution technology correlates and deduplicates information across scanners, CMDBs, application inventories, and operational systems to create a single record for each business application. By connecting vulnerabilities to the applications they impact and identifying the owners responsible for remediation, the solution helps organizations eliminate one of the most common causes of patching delays: determining who needs to take action. Combined with advanced analytics and business risk prioritization, this enables faster patching, smarter resource allocation, and measurable reductions in cyber risk.

Extending Identity Governance to Legacy Applications

User access reviews remain one of the most persistent challenges in identity governance. While many governance solutions focus on cloud and SaaS applications, organizations frequently rely on spreadsheets, manual processes, and ad hoc evidence collection to review access across mainframe, on-premises, and custom-built systems, leaving critical portions of the enterprise outside an automated governance process.

DataBee User Access Review closes this gap by identifying applications requiring review, establishing ownership, generating reviewer populations, and preserving the evidence and traceability needed for compliance and audit programs. By complementing existing identity governance investments, DataBee helps organizations extend governed access reviews across modern and legacy environments through a more complete and automated process.

Cybersecurity Awareness Month Webinar Series

To mark Cybersecurity Awareness Month, DataBee is hosting three educational webinars for CISOs, Cyber GRC leaders, and BISOs seeking to modernize their cyber risk management practices:


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