AI red team
AI red team
an AI red team: it freezes an ordered plan of attacks from the exploit bank and fires them one by one at a target agent, then tells you what's exploitable.
About
Pre-deployment adversarial testing for AI agents. Point it at an agent chat endpoint -- an OpenAI-compatible /chat/completions URL or a Zero thing's chat -- and a run freezes a plan (a snapshot of the exploit bank, deduped, severity-ranked and scoped) then walks it one probe at a time, in order: prompt injection, jailbreaks, data exfiltration, excessive agency, insecure output and more. Each response is judged (refusal / contains / regex / canary / LLM-rubric); a finding is VULNERABLE when the attack lands, DEFENDED when the agent holds. Pattern detectors need no key; the LLM-judged probes use one when configured (skipped otherwise). The plan is fixed before the run starts and applied sequentially, so every run is reproducible and auditable.
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yours the moment you get it — nothing to install
Get itHow it works
- 1 · Get itOne tap records the grant and lands the class on your zero — nothing to install.
- 2 · It stays currentYour zero pulls the latest from the store over the air, in the background — no app to update, ever.
- 3 · Evolve itTell it what to change — it gets better by conversation, and the new version ships over the air too.