Introducing our open source AI-native SAST
Datadog | The Monitor blog

Introducing our open source AI-native SAST


Summary

Datadog has released an open-source, AI-native SAST solution that leverages large language models to provide more accurate, context-aware vulnerability detection than traditional, rule-based tools. By employing an incremental analysis architecture to manage the high costs of LLM processing, the tool significantly outperforms traditional methods on OWASP benchmarks for critical vulnerabilities like SQL injection and XSS.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
DASH 2026: Guide to Datadog’s newest announcements
DASH 2026: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 206 views

2
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 178 views

3
Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
4
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 107 views