You have an AI system in production. Has anyone attacked it yet?
A chatbot, a RAG assistant, an agent with tool access — running, used by customers, never tested adversarially. We test the live system and hand you findings with reproduction steps, not a scanner dump.
Sound familiar?
- The system went live because it worked in the demo, not because it survived an attack.
- Nobody has tried to make it leak another customer's documents.
- Guardrails were configured once and never verified.
- A customer, insurer or auditor is now asking for a security test report.
What we do
Scoping & threat model
What the system can reach, who can talk to it, and what a successful attack would cost you.
Adversarial testing
Prompt and injection attacks, jailbreaks, data leakage, tool abuse and authorisation bypass.
Findings report
Ranked by exploitability and blast radius, with reproduction steps for every finding.
Fix plan & retest
A remediation backlog your team can execute, and a retest to confirm it worked.
Go deeper
Questions we get
Is this a classic penetration test?
It includes one for the AI layer, but classic pentests miss prompt-level and retrieval-level attacks entirely. We cover both surfaces.
Do you need production access?
A staging environment with realistic data behaviour is usually enough. Where it is not, we agree strict rules of engagement.
What do we get at the end?
A report you can show a customer or auditor, plus a walkthrough session with the engineers who ran the test.
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