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Explore how artificial intelligence and machine learning are revolutionizing DevSecOps automation in this 30-minute conference talk from DevConf.US 2025. Learn to move beyond traditional security scans in legacy CI/CD pipelines toward intelligent, adaptive workflows powered by AI that make software delivery both more secure and efficient. Discover practical implementations of AI-enhanced pipelines capable of proactively identifying vulnerabilities, detecting real-time anomalies, and streamlining incident response processes. Master the integration of machine learning models into popular CI/CD tools like GitLab and Tekton to implement predictive testing and dynamic compliance validation that evolves with your system. Examine real-world use cases and strategies from large-scale enterprise environments where AI has significantly enhanced security posture without compromising development velocity. Understand how to configure intelligent pipelines that anticipate issues rather than merely react to them, enabling a more resilient and agile DevSecOps approach. Gain insights into scaling secure deployment, improving visibility, and eliminating manual overhead through AI as a force multiplier for DevOps teams, security professionals, and architects navigating increasingly complex threat landscapes.
