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Fabraix is an AI security and adversarial testing platform designed to evaluate the reliability of customer-facing AI systems and autonomous agents. Its Nyx testing harness performs black-box, multi-turn red-team assessments that adapt to an agent’s behavior, helping identify vulnerabilities that static benchmarks and single-prompt tests may miss.
The platform supports testing across text, voice, browser, email, document, and other multimodal interaction surfaces. It can assess chatbots, coding agents, research agents, browser agents, financial tools, clinical copilots, and multi-agent systems for risks such as prompt injection, jailbreaks, data exfiltration, unsafe tool use, logic errors, policy violations, and alignment failures. Fabraix provides findings reports with reproducible test scenarios and remediation guidance, while continuous testing options can support CI/CD workflows and regression tracking as models, prompts, and integrations change. Its black-box approach is designed to test AI systems through the same interfaces available to users, without requiring access to source code, model weights, or internal networks.
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