Fabraix

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Tagline:Automated adversarial verification and red-teaming for AI agents

Updated:October 22, 2026

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What is Fabraix?

Fabraix builds red-teaming AI agents that continuously find security vulnerabilities in customer-facing AI. Its flagship autonomous testing harness, Nyx, stress-tests systems across security, logic, and alignment using multi-turn adaptive attacks.

How to use Fabraix?

Connect your customer-facing AI system, run automated adversarial scans to detect vulnerabilities, and review reproduction steps and remediation guidance.

Fabraix Core Features

Pure blackbox testing

Tests any AI system externally with zero integration, source code, or internal access required.

Multi-turn adaptive stress tests

Executes over 10,000 attack strategies across multiple conversational turns to uncover complex failure modes.

Multi-modal attack surfaces

Probes agents across text, voice, images, browser environments, and document processing pipelines.

Massively parallel simulations

Runs thousands of simulated adversarial scenarios concurrently to scale test coverage with compute.

Fabraix Use Cases

Red-teaming customer support chatbots against prompt injection and policy drift

Auditing autonomous coding agents for sandbox escapes and unsafe code execution

Evaluating financial and healthcare copilots for compliance gaps and data leakage

Testing multi-agent architectures for cascade failures and cross-boundary injection

Fabraix Frequently Asked Questions

What is Nyx by Fabraix?

Nyx is an autonomous testing harness that continuously probes AI agents across security, logic, and alignment using adaptive multi-turn attacks.

Does Nyx require access to model weights or source code?

No. Nyx is pure blackbox and requires zero integration, source code, or model weights. It tests your system exactly as users interact with it.

How does Nyx compare to static benchmarks?

Unlike static benchmarks that fire canned prompts, Nyx reasons across conversation turns, adapts to defenses dynamically, and uncovers failure modes that single-shot tests miss.

Is customer data safe during testing?

Yes. Environments are isolated and ephemeral, data is encrypted in transit and at rest, and models are never trained on your data.

Fabraix Product Background & Official Links

Fabraix Support Email & Customer service contact & Refund contact etc.

Fabraix Support Email: founders@fabraix.com

More Contact, visit the about us page(https://docs.fabraix.com/)

Fabraix Pricing & Plans

Researchers

Free

1 target
Core interaction library
Standard findings report
Publish-friendly results
Community support

Subscribe & upgrade now

One-Off Scan

flat

Custom one-time

One agent, full coverage
10,000+ adversarial strategies
AIVSS-scored pentest report
Reproduction steps per finding
Remediation guidance

Subscribe & upgrade now

Continuous

Recurring

Custom /month

Multiple targets
CI/CD & scheduled scans
Continuous new attack updates
Findings dashboard & export
Regression tracking over time
Priority support

Subscribe & upgrade now

Fabraix Tags

Free Paid API Available For Developers For Enterprise For Startups AI Agent Ready Secure Data Privacy-Focused Cloud-based

Best Suited Occupations for Fabraix

Software Developers IT Ops & Security Academic Researchers Product Managers Executives & Decision Makers

Fabraix

Active

Tagline:Automated adversarial verification and red-teaming for AI agents

Updated:October 22, 2026

Domain Rating:

20Domain Rating by Ahrefs

Social Media:

Coding & Development AI Developer Tools AI Testing Tools Free Paid API Available For Developers For Enterprise For Startups AI Agent Ready Secure Data

Open Website

Visit Website

What is Fabraix?

How to use Fabraix?

Connect your customer-facing AI system, run automated adversarial scans to detect vulnerabilities, and review reproduction steps and remediation guidance.

Fabraix Core Features

Pure blackbox testing

Tests any AI system externally with zero integration, source code, or internal access required.

Multi-turn adaptive stress tests

Executes over 10,000 attack strategies across multiple conversational turns to uncover complex failure modes.

Multi-modal attack surfaces

Probes agents across text, voice, images, browser environments, and document processing pipelines.

Massively parallel simulations

Runs thousands of simulated adversarial scenarios concurrently to scale test coverage with compute.

Fabraix Use Cases

Red-teaming customer support chatbots against prompt injection and policy drift

Auditing autonomous coding agents for sandbox escapes and unsafe code execution

Evaluating financial and healthcare copilots for compliance gaps and data leakage

Testing multi-agent architectures for cascade failures and cross-boundary injection

Fabraix Frequently Asked Questions

What is Nyx by Fabraix?

Nyx is an autonomous testing harness that continuously probes AI agents across security, logic, and alignment using adaptive multi-turn attacks.

Does Nyx require access to model weights or source code?

No. Nyx is pure blackbox and requires zero integration, source code, or model weights. It tests your system exactly as users interact with it.

How does Nyx compare to static benchmarks?

Unlike static benchmarks that fire canned prompts, Nyx reasons across conversation turns, adapts to defenses dynamically, and uncovers failure modes that single-shot tests miss.