AI & LLM Security Testing

Use AI without overlooking the risks

Evidence, a plain-language explanation of potential business impact, and prioritised next steps within an agreed scope.

Test how your AI features handle sensitive information, untrusted instructions, and connected tools within an agreed scope.

What's included

Prompt injection testing - direct jailbreaks and indirect injection via documents, web content, and uploads
System prompt and sensitive data extraction attempts
RAG pipeline review - are retrieval permissions enforced per user?
Agent and tool abuse testing - what can your AI be tricked into doing with its access?
Insecure output handling - XSS and injection through model responses
Rate limiting and cost abuse checks on AI endpoints

How it works

01

Map

We inventory every AI touchpoint - chat interfaces, RAG pipelines, agents, API endpoints - and what data and tools each one can reach.

02

Attack

Systematic adversarial testing against the OWASP Top 10 for LLM Applications: injection, leakage, agency abuse, and output handling - with evidence for every finding.

03

Harden

You get prioritised fixes - permission enforcement, output sanitisation, agency limits, rate limiting - and we re-test each one once applied.

What you get

Deliverables, coverage, access, fees, and response or reporting times are agreed in your proposal. Testing requires written authorisation. Findings reflect the agreed scope and available evidence; they are not a guarantee against a breach.

Deliverable 01LLM findings report with reproduction evidence
Deliverable 02AI attack surface inventory
Deliverable 03Prioritised hardening guidance
Deliverable 04Re-test of applied fixes

Find out what attackers already know about your business.

Tell us what matters to your business. We will agree the right scope and next step.

Discuss your business risks