AI just found 10,000 bugs in a month. Finding them is the easy part
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Anthropic's Project Glasswing used Claude Mythos Preview to find over 10,000 high or critical vulnerabilities across 50 partner organizations in one month, including 2,000 at Cloudflare and 6,202 in open-source infrastructure projects. The key insight is that AI-driven bug discovery has scaled dramatically, but remediation hasn't kept pace. Fixing vulnerabilities safely requires deep understanding of business logic, dependencies, and system constraints — knowledge that rarely lives in documentation. The post argues that the real bottleneck is an 'understanding layer': mapping blast radius, extracting business rules, and combining deterministic analysis with AI and senior engineers. Swimm positions its product-enabled service as a solution to this gap, offering architecture maps, dependency analysis, and remediation playbooks.
