AI coding tools help developers build and deploy LLM applications quickly, but this speed comes with new security risks. Traditional static application security testing (SAST) tools that are pattern based weren’t designed to detect LLM-specific issues such as prompt injection sinks and exposed system prompts. These vulnerabilities often don’t become apparent until applications are already running in production, when remediation is more difficult and expensive.
Datadog Code Security’s AI-native SAST offers coverage for the OWASP Top 10 for LLM Applications to help you detect LLM-specific risks earlier in the development cycle. Developers get actionable feedback directly in the same workflows where they review and ship code, helping them remediate vulnerabilities faster.
In this post, we’ll explain:
What the OWASP Top 10 for LLM Applications coversHow AI-native SAST provides detection
What is the OWASP Top 10 for LLM Applications?
