LLM Security Assessment
LLM security assessment involves evaluating large language model deployments for vulnerabilities specific to generative AI, including prompt injection, data leakage, insecure output handling, and model manipulation. As organizations integrate LLMs into products and internal workflows, assessing their security posture is a critical and rapidly growing discipline. Practitioners must understand both the AI technology and classic application security principles.
Key Capabilities
- Prompt injection testing and exploitation techniques
- Jailbreak and guardrail bypass assessment
- RAG pipeline security review
- Sensitive data leakage assessment
- LLM API surface testing
- OWASP Top 10 for LLM Applications