How AI Is Improving SAST Accuracy and Reducing Developer Friction

AI-Driven Security Operations , Security Operations , Security Operations Center (SOC) How AI Is Improving SAST Accuracy and Reducing Developer Friction Presented by Harness Credit Eligible Static application security testing has long been a core component of application security programs. Yet many organizations continue to struggle with inconsistent results, excessive false positives, and friction between security and development teams. These challenges limit both efficiency and impact. Artificial intelligence is beginning to change that equation. Emerging AI driven approaches are enhancing the precision of SAST, reducing noise, and enabling security teams to better align with the speed and scale of modern software development. At the same time, the market is evolving quickly, making it difficult for leaders to separate meaningful advancements from overstated capabilities. For security executives, the opportunity is not just incremental improvement, but a more effective and scalable approach to application risk management. Join this session to explore how AI is transforming SAST and what it means for your broader application security strategy. In this session, you will gain insight into: How AI is improving the accuracy and reliability of SAST findings; Where AI can reduce false positives and streamline collaboration between security and development teams; What to look for when evaluating AI SAST solutions; How to integrate AI SAST into existing AppSec workflows. This session will provide practical guidance to help you evaluate AI-driven SAST and make more informed decisions for your organization.