Break it before
someone else does.
Adversarial probe development and execution across 8 harm categories — jailbreaks, prompt injection, data exfiltration, harmful uplift — by domain-vetted specialists.
Built for production, not just demos.
- Jailbreak resilience (DAN, roleplay, multi-turn, multilingual)
- Prompt injection through tool calls, RAG and document content
- Data exfiltration via tool chains and reasoning traces
- Harmful uplift probes for bio/chem/cyber risk
- Privacy probes (PII memorisation, membership inference)
- Multilingual + culturally-adapted probe sets
- Continuous probe-set refresh as new vectors emerge
- Patch validation after mitigations ship
How a typical engagement runs.
Scope
Map your threat model, AUP and applicable regulations to harm categories.
Develop
Build probe sets per category — generative + curated + culturally-adapted variants.
Execute
Run against your model with multi-turn + multilingual coverage.
Triage
Categorise findings by severity; reproducible exploit chains documented.
Validate
Re-run after mitigations to confirm fix + check for regressions.
What you get in your bucket.
Questions, answered.
Do you do bio/chem/cyber harm probing safely?
Yes — we use proxy benchmarks calibrated against published-safe datasets (e.g. WMDP) and never produce actionable harm content. Our methodology mirrors leading lab safety practices.
How often should I red-team?
Quarterly at minimum, plus before every major release. Probe sets refresh monthly to catch new jailbreak patterns.
What about multimodal (image / audio) attacks?
We probe vision, audio and document inputs — including steganographic prompt-injection via images and adversarial audio.
Do you support EU AI Act red-teaming requirements?
Yes — our deliverable maps to GPAI Code of Practice obligations and the high-risk system testing requirements.
Ready to build
AI you can trust?
Talk to a solutions architect — get a pilot scoped in 48 hours.