Hello and welcome to Eye on AI, this is Sharon Goldman subbing for Jeremy Kahn today. In this edition…Suspect in attack at Sam Altman’s house aimed to kill OpenAI CEO, warned of humanity’s extinction from AI…Anthropic hires Trump-linked lobbying firm Ballard Partners…the AI revolution in math has arrived.
As my colleague Beatrice Nolan has reported, Anthropic’s new AI model, Mythos, has caused a stir among cybersecurity experts and policymakers by saying its new model is so skilled at finding and exploiting software vulnerabilities that it’s too dangerous to release. Instead, it is limiting access to a small group of major technology companies whose software is the foundation for many other digital services, hoping to give defenders time to strengthen their systems.
But this announcement also revealed a growing concern for those defenders: AI is finding flaws far faster than companies could ever hope to patch them. According to Anthropic, Mythos has already found thousands of high-severity vulnerabilities, including some in every major operating system and web browser.
Flaws are coming faster than companies can fix
“Vulnerability discovery is outpacing patching,” Shane Fry, CTO and RunSafe Security, told me by email yesterday. AI is accelerating exploit discovery beyond what organizations, especially in operational technology environments (think manufacturing, building systems, industrial control systems and power grids) can realistically remediate, he said.
Critically, Anthropic says over 99% of what they found has not yet been patched.
“Organizations are already struggling to keep up with patching across both IT and OT environments, and AI is only accelerating that gap,” Fry said. “As vulnerability discovery and exploit development move faster, the idea that you can remediate everything in time just doesn’t hold. The focus has to shift to protections built into the software itself that prevent vulnerabilities from being reliably exploited.”
In a way, an AI tool like Mythos that can find thousands of cybersecurity vulnerabilities a minute is really an “incredibly expensive alarm,” said Tal Kollender, a former hacker and founder of cybersecurity platform Remedio. Finding risk faster than you can fix it, she told me, does not make companies more secure.
“Don’t get me wrong, what Anthropic is doing is amazing, it’s a wow,” she said, pointing to its game-changing speed of detection. But now companies also need an equal game-changer as far as remediation – that is, fixing the problem once it has been discovered. That’s because fixing vulnerabilities is still a slow, manual process. Teams have to file tickets, patch different systems one by one, track how everything is connected, and make sure they don’t accidentally disrupt the business.
AI is needed to make security fixes faster
Kollender said she began immediately hearing from clients after the Mythos news was released. “They were panicking,” she said. The likely path forward, she explained, is AI-driven systems that don’t just find vulnerabilities, but prioritize, fix, and validate them automatically.
For now, though, the uncomfortable reality is that AI is making it far easier to find weaknesses than to fix them. At least for the next year, Kollender warned, defenders are finding themselves in a race they’re not yet equipped to win.
With that, here’s more AI news.Sharon [email protected]@sharongoldman
This story was originally featured on Fortune.com
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