Today's AI-powered development cycles are forcing a crisis in application security. Teams are facing a rapidly growing security backlog that is quickly outpacing their ability to fix vulnerabilities, increasing organizational risk with every new release. How can already-strained teams keep up? This session dives into the primary challenges organizations face, from resource constraints to effective prioritization. We will then provide a practical demo showcasing how to implement an AI-accelerated remediation strategy. You'll learn how your team can begin to burn down its security backlog, streamline workflows, and ultimately deliver more secure applications without slowing down innovation.

Key Takeaways:

Quantify and Prioritize Risk: Learn practical strategies for using AI-driven insights to accurately measure the security risk posed by their growing backlog and pinpoint the most critical vulnerabilities for immediate attention.

Implement an AI-Accelerated Workflow: Understand how to integrate AI-powered tools directly into their development and security pipelines to rapidly analyze, suggest, and validate fixes for vulnerabilities, significantly increasing remediation velocity.

Ship Faster and More Securely: Discover how to effectively "burn down the backlog" by streamlining security and development collaboration, enabling them to deliver innovative applications faster without accumulating new technical debt or slowing down release cycles.