Protect Your IoT with Microsegmentation

For years, the cybersecurity industry has coasted on the perception that zero-day vulnerabilities (bugs in software that the developers were not yet aware of) were not easy to find… but on April 6th, 2026, this perception shifted completely as Anthropic’s Claude Mythos AI model proved it very, very wrong.

Today’s threats are no longer the bugs we know about. They’re the thousands of previously unknown vulnerabilities that AI can identify (and weaponize) in mere moments.

Claude Mythos Uncovered Flaws from 27 Years Ago

Thanks to Claude Mythos, Anthropic uncovered three-decade-old vulnerabilities that had gone undetected despite professional audits and reviews. It then revealed exactly how each of these vulnerabilities could be exploited.

One example of such a vulnerability was a signed integer overflow in the TCP stack of OpenBSD. 

For context, OpenBSD is an operating system designed for security, while TCP stands for Transmission Control Protocol, which is what keeps the data you send over the Internet organized. A signed integer overflow occurs when an operation results in more digits than can be represented. Take the odometer in an automobile, for example. Once the mileage hits 999,999, it cannot represent any larger integers. In the case of the odometer, it simply resets to 000,000 and continues accumulating. In programming, it often leads to failure.

Claude Mythos not only identified this issue but also took steps to confirm its findings and demonstrate how this issue could be weaponized… all without any human intervention.

The Numbers Around AI and Vulnerabilities are Concerning

• Previous AI models were abysmally unsuccessful compared to Claude Mythos at developing exploits, with near-zero success rates versus Claude Mythos's 72.4 percent.
• Kernel-level exploits are far more cost-efficient to develop, with the going rate plummeting from tens of thousands to two thousand or so.
• A few short years ago, attackers needed about a month to weaponize a bug. Today, it takes less than a week, having sped up sixfold.

Traditional Patch Management Is No Longer Enough

This discovery is a terrifying one, for a few reasons. First of all, when an entire OS can have its code scanned for less than $20,000, the 70-day median time it takes for an organization to fix a problem effectively guarantees that the business will be breached… and that’s just the devices that can accept a patch.

More and more Internet of Things devices are appearing on business networks, many of them operational technologies and medical devices. Famously (or infamously), these devices commonly:

• Rely on legacy firmware that no longer receives support
• Lack the ability to automatically update
• Cannot be taken offline for maintenance 

As such, if an AI identifies a bug in the foundational protocols these devices rely on, there is effectively no patching it. The bug is there to stay.

Plus, AI is a Super-Talented Hacker with Infinitely More Patience

Another contributor to our inflated sense of security has long been the fact that hacking isn’t nearly as exciting as the movies make it out to be. Manually hacking something is tedious. Manually hacking something is complicated. Manually hacking something is full of backtracking, guesswork, and trial and error.

A human hacker is subject to frustration. AI is not. AI has no trouble completing every step it is instructed to, all in a matter of seconds.

Claude Mythos Let the Genie Out of the Bottle…

…which means it is all the more important to focus on containing threats ahead of time as compared to patching them reactively. To do so effectively will require a few essential behaviors:

• Keep a Detailed Inventory - First and foremost, you need to know what you have connected to your network. Perform an audit to identify each and every legacy device, controller, and sensor.
• Assume the Worst - Let’s face it… there are decades-old bugs we’re just learning about. AI is bound to identify more, so it is safe to assume that your devices have some form of insecurity; craft your defenses accordingly.
• Segment Your Network - Take the nuclear option and cut all your devices off from anything not essential to their operations. 

Claude Mythos Has Made Theoretical Threats Too Real

Given that exploits are now increasingly accessible and easily automated, it is critical to take steps to protect your network and minimize the damage any unpatched issue could cause. We can help. Give us a call at (780) 409-8180 to get started.