Playground
Open-source adversarial testing environment for running attack campaigns against AI systems, contributing new attack vectors, and evaluating defenses.
What it does
Open-source adversarial testing environment for running attack campaigns against AI systems, contributing new attack vectors, and evaluating defenses.
- AI red-teaming
- adversarial verification
- security vulnerability discovery
- Category
- AI safety and governance
- Built for
- Defense and aerospace
- Users
- Fortune 500 companies, enterprise AI teams, academic and independent researchers
- Public API
- Not offered
- Deployment
- Self-hosted
Not yet disclosed: platforms, languages and support channels.
Pricing
- Free plan$0
Prices as published by Fabraix, Inc., checked Oct 2026.
Security and compliance
As reported by Fabraix, Inc.. Ask for audit reports before you buy.
- SOC 2 Type IIIn progress
- EU AI ActCompliant
- ISO/IEC 42001Compliant
- MITRE ATLASCompliant
- TLS 1.2+ encryption in transit
- AES-256 encryption at rest
- Isolated, ephemeral sandboxed scan environments
- Synthetic-only payloads with canary secrets
- Pure blackbox testing with no internal access
- Never trains on customer data
- Least-privilege, logged access
- Responsible-disclosure program
- Minimal, configurable data retention with deletion on request
- Privacy-respecting analytics (Umami, no cross-site tracking)
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