Claude Mythos is Not a Silver Bullet. LLMs Can Find Bugs in Your Code. That's One Class of Security Problem.

Short summary

Anthropic's guide on using Claude to find code vulnerabilities is well-designed for known patterns like SQL injection, but framing source-code scanning as THE security problem overlooks infrastructure configuration misalignment, architectural design flaws, and composition risks across resources. LLMs cannot evaluate deployed state or detect intent mismatches. Effective security requires distinct specialized tools for distinct problem classes, not one LLM solution.

• •LLMs reliably detect known code vulnerability patterns (SQL injection, buffer overflow) because training data contains thousands of examples
• •Infrastructure config, architecture design, and cross-resource composition risks are separate security problems LLMs cannot address
• •Industry risks over-investing in code scanning while under-investing in deployed-state validation and design review

Generated with AI, which can make mistakes.