strix

It combines static analysis with AI-driven reasoning to understand code context distinguishing exploitable vulnerabilities from false positives, generating proof-of-concept exploits to confirm severity, and proposing concrete patches for confirmed issues.

The tool integrates with GitHub repositories and CI/CD pipelines, scanning pull requests and commits for newly introduced vulnerabilities before they reach production.

Strix covers OWASP Top 10 categories including injection flaws, authentication weaknesses, sensitive data exposure, and insecure deserialization, as well as AI-specific risks in codebases that integrate LLMs prompt injection vulnerabilities, insecure model output handling, and unsafe tool calling patterns.

As an open-source project, Strix can be deployed within an organization's own infrastructure, ensuring that source code is never transmitted to third-party services a critical requirement for security-sensitive industries including finance, healthcare, and defense.

The AI component is designed to reduce alert fatigue by prioritizing findings by exploitability and business impact, surfacing the issues that genuinely require immediate attention rather than overwhelming security teams with low-severity informational findings.