Can Large Language Models (LLMs) replace static analysis in application security? The short answer is no—but when combined, they unlock a new era of precision, speed, and efficiency in secure software development.

 Traditional static application security testing (SAST) is critical for identifying vulnerabilities early, but it often generates excessive false positives, slowing down development and overwhelming security teams. AI-powered security tools are now transforming shift-left security by intelligently reducing noise, ensuring developers focus on real risks instead of chasing false alerts.

 Where We Are Today: AI-powered triage is cutting false positives and improving accuracy.

 What’s Next for AI & AppSec: AI-driven security will autonomously detect and remediate threats.