Fabraix builds state-of-the-art AI red-teaming agents that continuously detect security vulnerabilities in customer-facing AI. Our product, Nyx, has already found vulnerabilities in agents at dozens of Fortune 500 companies. On AgentHarm, the leading benchmark for offensive AI security, Nyx achieved a 78% attack success rate, compared with 67% for GPT-5.6 Sol. Companies usually pay for penetration tests one project at a time. They select which systems to include, give a team a few weeks to find vulnerabilities, and receive a report when the project ends. Testing everything this way is very expensive. Globally, penetration tests cover only 26% of the software attack surface. AI agents can change more often than teams can test them. A new model, prompt, tool, permission, or data source can change what an agent does, even when the application code stays the same. The report describes only the version that was tested. AI is also increasing how much software companies produce and how often
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