Added Jul 19, 2026

Fabraix

The world's frontier hacker for AI agents.
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概要
Fabraixとは?

Fabraix builds frontier red-teaming AI agents that continuously find security vulnerabilities in customer-facing AI systems. Its flagship agent, Nyx, performs autonomous blackbox adversarial testing across multi-turn interactions, voice, text, and images, surfacing failure modes like prompt injection, hallucination, and logic gaps that static benchmarks miss.

The world's frontier hacker for AI agents.

主な機能
Pure blackbox testing: no special access, source code, or model weights required
Multi-turn adaptive stress tests that reason across interactions and adapt to agent logic
Multi-modal testing: voice, text, and images, including deploying test websites and custom files
Massively parallel simulations running thousands of concurrent attack campaigns
Self-learning loop: every attack feeds back to sharpen the red team over time
CI/CD integration: re-tests every agent update, prompt change, and tool integration before shipping
主な活用例
  • Security auditing of customer-facing AI agents (support bots, code agents, browser agents)
  • Continuous adversarial testing in CI/CD pipelines for AI deployments
  • Probing for prompt injection, hallucination, policy drift, and logic gaps in multi-turn flows
  • Stress-testing AI systems in regulated industries like healthcare, finance, and legal
  • Evaluating agent-to-agent coordination and orchestration vulnerabilities
使い方
  • Point Nyx at any AI system via its blackbox interface—no integration or source code needed
  • Select the appropriate blueprint for your domain (support bot, code agent, RL system, browser agent, etc.)
  • Run massively parallel attack campaigns across multi-turn interactions, voice, text, and images
  • Review surfaced failure modes including jailbreaks, injections, exfiltration, reasoning gaps, and alignment issues
  • Integrate Nyx into your CI/CD pipeline to automatically re-test every agent update before shipping
価格
FabraixはFreemiumの料金モデルを採用しています。価格と機能は変更される場合があります。
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