TLDR Tech / InfoSec
Why a Decade of Writing Detection Logic Makes the Mythos Exploit Numbers Less Scary
Anthropic's Mythos model is finding thousands of vulnerabilities, and Mozilla confirms they're real. However, behavioral detection has never matched exploits 1:1. Defenders focus on behaviors, not individual CVEs, Microsoft Office has over 1,000 RCE vulnerabilities, but detecting Office documents spawning child processes catches them all. Machine learning-based anomaly detection won't help: it's bad at identifying novel attacks, suffers from drift as environments change, and false positives spike when benign traffic shifts. A false positive rate of 0.001 results in 1,000 false alerts per day in a million-event environment, drowning out analysts. Behavioral rules targeting actions without a legitimate purpose remain stable over the years and don't drift. The real threat isn't exploit volume, it's AI agents getting access to sensitive systems and prompt injection attacks that use legitimate credentials to execute malicious actions users never see.
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