AI Security & Governance

AI Security Testing & Red Teaming

AI applications introduce attack vectors that traditional penetration testing does not cover. We test LLM-powered applications, RAG pipelines, MCP servers, and agentic AI systems against the OWASP LLM Top 10 and MITRE ATLAS frameworks, finding the vulnerabilities that attackers are actively exploiting. Our engagements combine deep AI architecture knowledge with proven offensive security methodology to give you a clear picture of where your AI systems can be compromised.

• LLM / GenAI application penetration testing (OWASP LLM Top 10)
• Prompt injection and jailbreak testing
• Insecure output handling and sensitive data disclosure assessment
• RAG pipeline and vector database security testing
• MCP server and agentic AI framework testing
• Adversarial ML red teaming (model evasion, data poisoning, model inversion)
• AI supply-chain and dependency risk assessment
• AI-specific threat modeling and secure code review
• AI incident tabletop exercises