AI evaluation
Safety and red teaming
Structured adversarial testing before launch, with findings you can act on. Campaigns are mapped to a harm taxonomy agreed with your risk function, so severity rankings translate directly into board-level risk language.
Discuss your AI initiativeScope of work
Process
How an engagement runs
01
Scope
We agree what to test, against which benchmarks and thresholds.
02
Harness
A reproducible test or evaluation harness is built in your repositories.
03
Execute
Suites run on every release; failures are triaged with your team.
04
Report
Findings, evidence and a remediation backlog, written for review.
Questions
Common questions
What is AI red teaming?
Structured adversarial testing — jailbreaks, prompt injection and misuse probing — mapped to a harm taxonomy and severity ranking.
When should red teaming happen?
Before launch and after any significant model or guardrail change. Findings feed mitigation, then retesting verifies the fixes.
Is red teaming a one-time exercise?
No. Attack techniques evolve. Standing engagements re-run campaigns as new techniques appear.