Map the AI attack surface
Prompts, tools, retrieval, hidden policies, and agent memory all become part of the security boundary. ZeroLeaks tests how those boundaries behave under pressure.
AI Red Teaming
Adversarial AI testing
AI red teaming that runs like a security scan
ZeroLeaks simulates adversarial users against your AI system, scores the results, and turns model behavior into evidence your team can act on.
Multi-agent attack planning and evaluation
Prompt extraction and injection coverage
Reports built for engineering remediation
Run adaptive attacks
The scan engine rotates attack categories and escalates based on responses, covering extraction, injection, persona jailbreaks, encoding, social engineering, and multi-turn probes.
Prioritize fixes
Reports connect each finding to severity, evidence, and remediation guidance so teams know what to fix first.
FAQ
How is AI red teaming different from a normal security scan?
AI red teaming tests model behavior, instruction hierarchy, and tool use under adversarial conversation patterns that traditional scanners cannot see.
Can AI red teaming run continuously?
Yes. ZeroLeaks supports recurring scans and CI workflows so prompt and agent changes can be tested before release.
