In an era of escalating cyberthreats, the traditional separation between DevSecOps and SecOps metrics is leaving organizations vulnerable. Siloed approaches fail to provide the cohesive insights needed to detect vulnerabilities early and respond effectively to incidents. Emerging technologies like generative AI and machine learning (ML) offer transformative potential to bridge these gaps, enabling the creation of intelligent continuous security metrics that adapt and learn in real-time.

This session will explore how combining DevSecOps and SecOps metrics with AI-powered solutions can redefine security management. We’ll examine three real-world security events where traditional metrics failed and demonstrate how AI and ML could have delivered predictive insights, faster incident responses, and enhanced vulnerability detection. Attendees will leave with practical knowledge of how to apply generative AI and ML to build smarter, unified continuous security metrics that safeguard against today’s sophisticated threats.