OWASP GenAI and LLM Security Guide
OWASP guidance helps teams assess application-level LLM and GenAI risks such as prompt injection, insecure output handling, tool misuse, and data leakage.
Typical risk areas
OWASP guidance is especially helpful when a system accepts user prompts, retrieves data, calls tools, or returns content that can be acted on downstream.
- Prompt injection and instruction hijacking.
- Sensitive data exposure.
- Insecure output handling.
- Excessive agency in tool-using agents.
- Supply-chain or dependency issues in the GenAI stack.
How it complements a broader assessment
OWASP-oriented testing focuses on the application and runtime behavior of LLM systems. A broader AI security assessment adds governance, inventory, identity, vendor, and monitoring checks around that technical core.
Practical interpretation
Use OWASP guidance to sharpen the technical testing checklist, then use a broader assessment to decide which systems deserve remediation first.
Next step
Guides explain what good AI security looks like. SecureAIScore helps you measure where your organization stands.