AI & LLM Application Security
AI features add a new attack surface: models that can be talked into ignoring their instructions, leaking data or misusing the tools they are connected to. We test them before attackers do.
What we cover
- Prompt injection, direct and indirect (through documents, web pages and email)
- Jailbreaks and guardrail bypass
- Sensitive data and system-prompt leakage
- Agent and tool-use abuse: what the model can be made to do with its access
- Retrieval (RAG) data poisoning and access-control gaps
- The surrounding application, APIs and cloud infrastructure
How we test
We test the whole system, not just the model: how user input reaches it, what data it can read, and what actions it can take. Findings are mapped to the OWASP Top 10 for LLM Applications and reproduced so your developers can confirm the fix.
What you get
- Findings mapped to the OWASP Top 10 for LLM Applications
- Reproducible prompts and evidence
- Practical guardrail and architecture recommendations
- Retest of fixed findings
Ready to test your defenses?
Tell us what you need assessed. We will scope it with you and send a proposal.