Fixing SAST: How AI Is Reducing Noise and Improving AppSec Outcomes

Application Security , Application Security & Online Fraud , Fraud Management & Cybercrime Fixing SAST: How AI Is Reducing Noise and Improving AppSec Outcomes Presented by Harness     60 Minutes     Share Post Share Credit Eligible Static application security testing (SAST) has long been a foundation of AppSec programs—but persistent issues with false positives, limited accuracy, and developer friction have reduced its effectiveness. AI is starting to address those gaps. New AI-driven SAST approaches are improving signal quality, reducing noise, and helping security teams better align with development workflows. However, capabilities vary widely, and it remains difficult to distinguish meaningful improvements from vendor claims. Join this webinar to learn how AI is reshaping SAST and what it means for your application security strategy. You will learn: How AI is enhancing traditional SAST capabilities; Where AI-driven tools reduce false positives and improve accuracy; What to look for when evaluating AI SAST solutions; How to integrate AI SAST into existing AppSec workflows.