[{"data":1,"prerenderedAt":1015},["ShallowReactive",2],{"/blog/machine-learning-and-devsecops":3,"navigation-en-us":230,"banner-en-us":657,"footer-en-us":667,"blog-post-authors-en-us-Sameer Farooqui, OctoML":910,"blog-related-posts-en-us-machine-learning-and-devsecops":926,"blog-promotions-en-us":951,"next-steps-en-us":1005},{"id":4,"title":5,"authors":6,"body":8,"category":208,"date":209,"description":210,"extension":211,"externalUrl":212,"faq":212,"featured":213,"heroImage":214,"meta":215,"navigation":216,"path":217,"seo":218,"slug":222,"stem":223,"tags":224,"template":228,"updatedDate":212,"__hash__":229},"blogPosts/en-us/blog/machine-learning-and-devsecops.md","Machine learning and DevSecOps: Inside the OctoML/GitLab integration",[7],"Sameer Farooqui, OctoML",{"type":9,"value":10,"toc":199},"minimark",[11,28,36,41,44,47,51,65,69,72,79,82,98,106,110,113,119,134,137,143,151,156,164,170,174,177],[12,13,14,15,21,22,27],"p",{},"Machine learning can be a powerful tool in software development, but not if it has to live apart from existing engineering workflows. 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