AI Security Assessment
Systematic AI security assessment covering LLM vulnerabilities, prompt injection, model access controls, and OWASP LLM Top 10 risk across your AI deployments.
AI Security Assessment — Evaluate Your AI Attack Surface
A structured security assessment of your AI and LLM deployments — identifying prompt injection risks, data leakage vectors, model access control gaps, and OWASP LLM Top 10 exposures before attackers find them.
- OWASP LLM Top 10 full coverage — all ten risk categories tested systematically
- Prompt injection surface mapping — direct and indirect injection vectors identified
- Model access control review — authentication, authorisation, and API key exposure
- RAG pipeline security — retrieval source integrity and indirect injection risk
- AI agent tool chain assessment — permission scoping and hijack resistance
- Risk-ranked findings report with remediation guidance and retest option
AI Asset Discovery
Every AI system is inventoried: LLM APIs, model endpoints, RAG pipelines, fine-tuned models, AI agents, and third-party AI integrations — before a single test is run.
Adversarial Testing
Active testing of prompt injection, jailbreaks, insecure direct object references via LLM, and agent hijack scenarios — not just automated scanning.
Framework Aligned
Findings are mapped to OWASP LLM Top 10, NIST AI RMF, and ISO 42001 control categories — providing compliance-ready evidence for auditors and enterprise procurement.