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In short

Fabraix is an adversarial verification platform for AI agents: Nyx red-teams with 1,000+ attack strategies, Arx blocks threats at runtime. Pricing private.

What is Fabraix?

Fabraix is an adversarial verification platform for AI agents that probes agent systems for vulnerabilities and then enforces runtime guardrails to block them, built for developers and teams shipping AI agents to production. It combines offensive attack simulation with runtime defense through two products that work together: Nyx and Arx. Nyx autonomously stress-tests an agent using more than 1,000 adversarial strategies in a pure blackbox, multi-turn fashion, adapting to your system in real time to surface real exploits, reasoning gaps, instruction-following failures, and logic bugs that manual testing or static evals miss. Arx then translates those findings into runtime guardrails that actively block threats while the agent is live. Fabraix frames the work around its own research, including the Adversarial Cost to Exploit (ACE) framework, which reframes agent security from binary pass/fail into measurable, deployable economics, and it offers a hosted Playground for stress-testing agent defenses through adversarial play. The product is most relevant to engineering and security teams that need to find gaps in their AI agents before users (or attackers) do. Pricing is not published on the site.

What is Fabraix used for?

Teams use Fabraix to adversarially test their AI agents for exploits and failure modes, then deploy runtime guardrails that block those attacks in production.

How much does Fabraix cost?

Plan

Price not published

Pricing not published

View pricing

Pros and cons

Pros

  • Nyx runs 1,000+ blackbox adversarial strategies that adapt to your agent in real time
  • Arx converts findings into runtime guardrails that actively block threats
  • Surfaces reasoning gaps, instruction-following failures, and logic bugs static evals miss
  • Grounded in original research (Adversarial Cost to Exploit framework)
  • Hosted Playground lets you stress-test agent defenses through adversarial play

Cons

  • Pricing is not published
  • Aimed at technical teams; not a no-code product for non-engineers
  • Newer entrant with limited public track record

Questions about Fabraix

What is Fabraix used for?

Fabraix is used to red-team AI agents and then defend them: Nyx probes an agent with adversarial attacks to find exploits and failure modes, and Arx turns those findings into runtime guardrails that block threats in production.

What are Nyx and Arx in Fabraix?

Nyx is the offensive component that autonomously attacks an AI agent using 1,000+ blackbox adversarial strategies to find vulnerabilities, and Arx is the defensive component that enforces runtime guardrails based on those findings.

Is Fabraix free?

Pricing is not published on the Fabraix site. There is a hosted Playground for experimenting with adversarial agent defenses, but plan costs are not disclosed.

Who should use Fabraix?

Engineering and security teams building AI agents who need to find and block vulnerabilities, prompt-injection attacks, and reasoning failures before deployment.

What are the best alternatives to Fabraix?

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