TL;DR
Datadog Code Security now detects LLM-specific vulnerabilities like prompt injection and excessive agency using taint and control flow analysis across six languages.
Key Points
- Covers OWASP Top 10 for LLM Applications with AI-native detection beyond pattern matching
- Supports Python, Go, Java, C#, TypeScript, and JavaScript
- Uses taint analysis, control flow analysis, and pattern matching for context-aware vulnerability detection
- Integrates directly into PR workflows and CI pipelines with actionable feedback
Why It Matters
Traditional SAST tools miss LLM-specific vulnerabilities like prompt injection and hidden context exposure that don't appear until production. This addresses a critical gap for teams rapidly deploying LLM applications, shifting security left into development workflows where remediation is cheaper and faster.
Source: www.datadoghq.com