AI Red Teaming
Goal-driven adversarial campaigns against model, prompts, retrieval, tools and guardrails — we pick an objective a real attacker would have and try to reach it.
Sound familiar?
- Testing so far has been functional: does it answer correctly, not can it be turned.
- Safety and brand risks were never probed systematically.
- Guardrails pass the examples they were built from and nothing else.
- Leadership wants an honest picture before a public launch.
What we do
Objective setting
Concrete attacker goals: exfiltrate data, trigger an unauthorised action, produce harmful output.
Campaign execution
Multi-turn, multi-channel attempts including indirect injection through content the system ingests.
Guardrail evaluation
Where the filters hold, where they fail, and what they cost in false positives.
Debrief
A session with your team showing exactly how each successful attack ran.
Questions we get
How is this different from a penetration test?
A pentest works through a checklist of surfaces. Red teaming picks an objective and uses whatever path reaches it, including social and content-based routes.
Do you need our safety policy first?
It helps. If none exists, defining what 'unacceptable output' means is the first hour of the engagement.
Tell us what's running in production.
We'll tell you what we'd check first — and what we wouldn't bother with.
Book a call