AI systems like Anthropic's Mythos will find software vulnerabilities and create exploits in hours instead of months, overwhelming security teams. The traditional month-long patching cycle will collapse under the speed of attacks, making current cybersecurity defenses obsolete.
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The speed of vulnerability discovery will shrink to a small fraction of what it is now. The number of vulnerabilities discovered will rise sharply. Exploits will be created very soon after discovery for all of them, not just a select few. And more zero-day attacks will happen, tying up security operations, crisis response, digital forensics, and incident response. This doesn't just put pressure on developers, it crushes their process system for patching. Take for example, Microsoft's Patch Tuesday, which occurs on the second Tuesday of every month. This cadence reflects a balance between the time it takes to validate a vulnerability, prepare and test a patch, and deploy it to the customers versus the time it takes for the attackers to build an exploit for the vulnerability and then use it against the victims. There is a window of time, about a month, that Microsoft has to manage this risk. But if AI models like Mythos can find a vulnerability, create an exploit, and attack victims in hours or days, this entire operating model becomes too slow and ineffective.
