#AI security
1 tool curated for you
ModelRed
Catch security vulnerabilities before production deployment with continuous penetration testing that simulates real-world attacks Pinpoint specific threats like prompt injections and data exfiltration using versioned probe packs locked to your model versions Block unsafe deployments automatically by integrating AI security checks as unit tests in your CI/CD pipeline Track security improvements over time with a simple 0-10 scoring system that compares models and releases Share reproducible security verdicts with stakeholders using detector-based assessments across multiple threat categories Maintain audit compliance with clear ownership tracking and change history for all security testing activities Test against thousands of evolving attack vectors from community marketplace and custom probe packs Secure any LLM provider including OpenAI, Anthropic and Azure with flexible custom endpoint support