Today, we’re excited to announce a new integration with Amazon SageMaker! SageMaker helps companies build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. By leveraging JFrog Artifactory and Amazon SageMaker together, ML models can be delivered alongside all other software development components in a modern DevSecOps workflow, making each model immutable, traceable, secure, and validated as it matures for release.
Consider this: By the end of 2024, Gartner has projected that over 40% of enterprises will have explicit strategies in place for SASE adoption compared to just 1% in 2018. As the “poster child” of SASE (Forrester Research’s words not mine), Cato has seen first-hand SASE’s incredible growth not just in adoption by organizations of all sizes, but also in terms of third-party vendor requests to integrate Cato SASE Cloud into their software.