Don’t Fear the Machines: Bridging the Gap Between ML Development and DevSecOps

Artificial intelligence and machine learning (AI/ML) adoption is exploding at an unprecedented rate. Whether you like it or not, your developers and data scientists are already bringing and storing ML models in your organization. Open model hubs like Hugging Face make it easy for teams to find new models, bring them into their systems, and train them to their needs. With all signs indicating that the use of ML models will only continue to increase in the future, it’s imperative that DevOps and Security practitioners act now to serve the MLOps needs of their organizations.

AI/ML is now at the forefront of every business initiative, and it’s not protected by traditional DevSecOps tools. In this webinar, the team at JFrog will discuss practical ways to mature your MLOps approach including bringing model use and development into your existing secure software supply chain and development processes.

Learn how to:

  • Deliver high-quality and secure AI-infused applications at scale
  • Bring your ML models into the software development lifecycle
  • Store, secure, govern, and manage AI components with confidence

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