"While there are plenty of open source tools on the market, putting all of those together to build a comprehensive ML pipeline isn't easy, which is why we're thrilled to work with JFrog on a solution for automating ML artifacts and releases in the same, secure way customers manage their software supply chain with JFrog Artifactory and Xray." Proof of why having secure, end-to-end MLOps processes is imperative was further confirmed by the JFrog Security Research team in their discovery of malicious ML Models in Hugging Face, a widely used AI model repository. Their research found that several malicious ML Models housed in Hugging Face posed the threat of code execution by threat actors, which could lead to data breaches, system compromise, or other malicious actions.