Summary
Keygraph's Shannon Lite is surfacing as an open-source AI pentester for web applications and APIs that combines source-code analysis with exploit execution. The project emphasizes white-box testing, proof-of-concept validation, and reproducible findings instead of theoretical vulnerability reports.
What changed
Shannon Lite broke out as an open-source AI pentesting tool that reads source code and executes real exploits against web apps and APIs.
Why it matters
Security tooling around agents is shifting from code review helpers toward systems that combine static context with runtime validation. Shannon matters because it treats exploit verification as the product, which raises the bar for AI security tools that still stop at suggestions or unproven scanner output.
Evidence excerpt
Keygraph describes Shannon Lite as an autonomous, white-box AI pentester for web applications and APIs that analyzes source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production.