Using LLMs to Secure Source Code - Best Practices from Anthropic

This guide from Anthropic shares best practices for using LLMs like Claude Opus to build threat models, discover vulnerabilities, and then verify, triage, and patch them. It outlines a six-step find-and-fix loop: 1) Define a threat model to establish trust boundaries and scope; 2) Build a sandbox environment for safe agent execution and proof-of-concept verification; 3) Run parallel discovery agents with rich context and simple prompts; 4) Use independent verifier agents to filter out non-exploitable findings; 5) Triage by deduplicating findings and ranking by severity based on reachability and impact; and 6) Patch by writing tests, fixing root causes, and validating fixes. The key takeaway is that discovery is now easily parallelizable, shifting the bottleneck to verification, triage, and patching, which can be streamlined with structured workflows, independent verification, and automated patch validation. 

https://claude.com/blog/using-llms-to-secure-source-code

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