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AI Security Red Team

AI safety needs testing on real entry points, tools, and permissions, then turning risk into remediation evidence.

AI Security Red Team

Baseline scanning and retesting for jailbreaks, injections, leakage, and tool abuse

Scenario Case

AI safety needs testing on real entry points, tools, and permissions, then turning risk into remediation evidence.

Component Selection

GarakModel and app baseline scanning
PyRITAdversarial orchestration and test cases
LangfuseAttack trace, replay, and retesting
Policy GatePre-release risk gating

Decision Boundaries

  • Map APIs, prompts, tools, uploads, and permission boundaries.
  • Tool-using agents need different test sets.
  • Retest after remediation.
01

Surface mapping

Identify APIs, prompts, tools, uploads, and privilege paths.

02

Baseline scan

Run jailbreak, injection, leakage, denial, and abuse tests.

03

Adversarial chains

Simulate realistic multi-turn attacks.

04

Remediation retest

Report severity, reproduction, priority, and retest results.

Expose high-risk entry points before launch.
Reports drive engineering fixes.
Critical attacks become release gates.