What the ML is up with DevSecOps and AI?

This post introduces the strategic direction for integrating AI/ML into GitLab's DevSecOps platform, focusing on faster deployments, improved security, enhanced quality assurance, intelligent monitoring, and predictive analytics. It highlights current AI-assisted features like Suggested Reviewers and Code Suggestions, emphasizing data privacy and source code protection. The roadmap includes workflow automation, intelligent code security, generative code suggestions, and integrating ModelOps/DataOps plumbing for building and deploying AI/ML workloads, including better support for Python notebooks and GPU runners.