owasp-llm-top10

An OWASP LLM security audit identifies vulnerabilities in GenAI applications through a structured workflow of intake, threat modeling, vulnerability scoring, and actionable reporting covering LLM01 through LLM10.

Before deploying a RAG pipeline, check for prompt injection, data leakage, supply chain risks, poisoning, improper output handling, vector weaknesses, misinformation, and unbounded consumption.

Mitigate prompt injection and data leakage by conducting a formal OWASP Top 10 security assessment that provides structured risk identification and prioritized remediation guidance for enterprise GenAI integrations.

Yes, the OWASP Top 10 assessment applies to ongoing governance for AI assistants and chatbots, supporting continuous security reviews and structured vulnerability documentation across the application lifecycle.

Yes, the LLM security audit explicitly covers excessive agent autonomy and system prompt leakage, along with vector weaknesses and unbounded consumption, providing structured findings and remediation steps.

The best way to document LLM security risks is applying the OWASP Top 10 for LLM Apps 2025, which generates structured findings and prioritized mitigation plans for vulnerabilities like poisoning and misinformation.