AI Penetration Testing Services
Offensive AI penetration testing covering LLM exploitation, prompt injection, model access abuse, RAG pipeline attacks, and AI agent compromise — full findings report included.
AI Penetration Testing — Offensive Security for AI Systems
Full-scope AI penetration testing combining automated adversarial suites with manual expert exploitation — covering the complete OWASP LLM Top 10, AI agent compromise, and RAG pipeline attacks.
- Automated adversarial suite: 100+ test cases across OWASP LLM Top 10 and jailbreak library
- Manual expert exploitation: novel multi-turn attack chains, indirect injection via realistic sources
- AI agent tool chain exploitation scenarios including MCP server attack paths
- RAG pipeline attack scenarios: indirect injection, retrieval manipulation, context poisoning
- Model data extraction and access control abuse testing
- Risk-ranked findings report with OWASP LLM mapping and specific remediation guidance
Pen Testing Finds What Scanners Miss
Novel attack chains, context-dependent vulnerabilities, and multi-turn exploitation require human expertise. Automated adversarial suites provide coverage breadth; manual testers provide depth.
Exploitability Evidence Changes Priority
A pen test provides evidence of actual exploitability — not theoretical vulnerability — enabling accurate risk prioritisation and justified remediation investment decisions.
Required Evidence for EU AI Act Conformity
EU AI Act conformity assessments for high-risk AI systems require evidence of security testing. AI penetration test findings provide that evidence in an auditor-acceptable format.