"The tool was driven by a probabilistic model designed to explore and pivot like a human, it didn't take the same path twice. When the original path didn't show up, the team couldn't tell if the hole was plugged or if the system had simply chosen a different route."
"Earlier in April Anthropic demonstrated what it looks like when the attacker is an AI. Claude Mythos autonomously discovered and chained zero-day vulnerabilities across major operating systems, producing working exploits in hours. That would have taken elite researchers weeks."
"Security validation has always depended on predictability. If you know how attackers operate, you can test your defenses against those methods and know where you stand - that's the difference between knowing your defenses work and hoping they do."
A security team faced challenges when using an autonomous AI tool to validate a fix for a complex attack path. The tool's probabilistic model led to uncertainty about whether vulnerabilities were truly remediated. This issue is compounded by AI's ability to autonomously discover and exploit vulnerabilities, as demonstrated by Anthropic's Claude Mythos. The unpredictability of AI-driven attacks raises concerns about the effectiveness of traditional security validation methods, which rely on predictable attacker behavior to assess defenses.
Read at ComputerWeekly.com
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