Generative AI (Gen AI) has become an increasingly useful tool in the world of application security. It can help with the most basic needs of identifying and recommending security tools for vulnerability discovery, through more advanced requirements such as helping security and engineering practitioners define more detection rules, generate fix code snippets, and more. By leveraging Gen AI, organizations can improve their application security posture by identifying vulnerabilities more quickly and accurately, as well as generating relevant fix solutions more efficiently. This talk will explore the potential of integrating Gen AI to expand the detection capabilities of these application security tools, as well as remediation and verification.

By leveraging advanced machine learning algorithms, Gen AI can enhance existing security rules, improving the ability to identify novel vulnerabilities and other potential organizational risks. Moreover, we will showcase the application of Gen AI in auto-generating remediation suggestions for SAST & IaC security tools, streamlining the process of addressing detected issues, and verifying their successful implementation, which reduces toil and cognitive load for already bogged down security engineering practitioners.