# Fabraix: adaptive red-teaming for AI agents

Canonical: https://thelazyweb.com/companies/fabraix/
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Author: Ali Abouelatta (https://thelazyweb.com/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

## What it does

Fabraix builds Nyx, an AI red-teaming agent for customer-facing AI systems. It tests how an agent behaves when it encounters adversarial webpages, documents, files, messages and tool outputs, then surfaces vulnerabilities that can change as the model, prompt, permissions or data sources change. The [YC profile](https://www.ycombinator.com/companies/fabraix) describes continuous testing for AI agents; the [public case studies](https://fabraix.com/case-studies) show the kind of production failure the company says it investigates.

The fit is a security or AI-platform team shipping agents that can browse, call tools, access sensitive data or take actions. Fabraix is not a generic scanner. Its value depends on adaptive interaction with the agent’s environment and on turning findings into fixes that a security team can reproduce and prioritize.

## Why I’d look closer

The public product surface is specific about failure classes: prompt and indirect injection, tool-use hijacking, guardrail bypass, secret or PII

[Fabraix: adaptive red-teaming for AI agents](<https://www.thelazyweb.com/companies/fabraix/>)

Source observed: 2026-09-20T02:21:55.002Z. Last checked: 2026-10-08T02:03:50.427+00:00.

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