What Fronter AI Models Like Mythos and GPT-Cyber Mean for Modern Cybersecurity

Ah, the circle of life in AI security is now complete. We were told that models like Mythos and GPT-Cyber still need humans for cybersecurity, as we noted last week. Now the same frontier models are expected to unleash an 'overwhelming number of security vulnerabilities,' leaving organizations drowning in required patches. So the script flips: first we need humans to run them, now we need more humans to fix the mess they make. Splendidly efficient.

Anthropic and OpenAI have been touting their cyber-capable models as the next big thing in defense. But apparently the models are doing a bit too much 'cybering' on the offense first. The 'surge in required patches' sounds less like a security boon and more like a full-employment act for vulnerability managers. It's the classic vendor trick: sell the problem, then sell the solution. And here we thought AI would automate patching — nope, it'll just automate the discovery of things to patch.

What's truly rich is the cosmic irony: the same labs that promised to revolutionize cybersecurity are now generating a vulnerability tsunami. The only thing more overwhelming than the surge in flaws is the sheer predictability of this outcome. As organizations brace for a deluge of CVEs, one can't help but admire the relentless ingenuity of the AI industry in creating problems no one asked for. Well played, silicon overlords. Well played.