Red teaming agentic systems
We attack your agents the way a motivated adversary would, and hand you a reproducible map of what breaks.
What we test for
We probe the failure modes specific to systems that reason, call tools, and act: direct and indirect prompt injection, tool misuse, privilege and scope escalation, data exfiltration through tool outputs, jailbreaks that survive your system prompt, and emergent behaviour that no single component was designed to produce.
Testing covers the whole loop — model, orchestration layer, tool surface, memory, and the trust boundaries between your agent and the systems it can reach.
How we work
We start from your architecture and threat model, then run a structured campaign that combines manual adversarial prompting, automated attack generation, and replayable exploit chains. Every finding ships with a concrete reproduction, an impact rating, and a suggested fix — not just a score.
Engagements can be one-off (pre-launch hardening) or continuous (a standing adversary against each release).
What you get
- Threat model and attack-surface map for your agent
- Reproducible exploit chains with severity ratings
- Findings report with prioritised, actionable remediations
- Retest of fixed issues to confirm closure
Ideal for
Teams shipping agentic products who need an independent adversary before — and after — they go live.