AI Red Team & LLM Abuse Testing

02 / 05

Validate · Red Team Product

AI Red Team & LLM Abuse Testing

Your own AI agents and chatbots are a new attack surface nobody's adversary-tested. A jailbroken assistant with tool access can leak data or take actions a traditional pentest was never scoped to catch.

Jailbreak & Prompt-Injection Ops

Objective-based abuse testing

Runs open-ended, objective-based attempts to break out of intended behavior, leak system prompts, or hijack tool calls.

Data Exfiltration Scenarios

Sensitive data leak paths

Tests whether a manipulated conversation can be used to extract training data, customer data, or internal context the model shouldn't expose.

Agentic Action Abuse

Tool-permission exploitation

Attempts to steer an agent's tool access toward unintended actions — the same objective-based approach used against human-run systems, aimed at AI ones.

Adversarial Reporting

Reproducible attack transcripts

Delivers every successful bypass as a reproducible transcript your team can replay, not just a severity score.