Fabraix

Fabraix is a specialized security testing platform for AI agents that helps developers find vulnerabilities before they reach production. It runs adversarial tests against your AI systems using over 1,000 different strategies to uncover logic gaps, instruction-following failures, and security weaknesses. The platform works entirely through blackbox testing, meaning no integration is required - you simply point it at your agent and it autonomously probes for weaknesses.

What sets Fabraix apart is its focus on the unique failure modes of AI systems. Unlike traditional software, AI agents can break in non-deterministic ways, where the same input might pass one time and fail the next. The platform's offensive harness pushes systems to their breaking point across security, logic, and alignment dimensions. It also includes specialized detection for reward hacking in reinforcement learning environments, potentially saving up to 30% in wasted compute from incorrect objectives.

This tool is particularly valuable for AI researchers, machine learning engineers, and product teams building autonomous systems. It helps teams deploying AI agents in production environments ensure they've tested for edge cases that manual testing or static evaluations would miss. By discovering these failure modes before deployment, teams can build more robust and secure AI systems that users can trust.