Bring the management of AI/ML models alongside pypi, CRAN, Conan, Conda, and other software components for a unified view of the software you’re building and releasing. Apply the same best practices you use for package management to model management. Unlike Git and point solutions, leveraging JFrog for model management provides the best in performance, scalability, and optimized handling of large binary files. Store models alongside their required data, files, and packages to easily bundle them into a secure Release Bundle for maturation towards release distribution.
Deploy a holistic security solution for your software supply chain. Span software curation, creation, consumption and ongoing monitoring. Endlessly secure your software development pipelines
Build security seamlessly into your developers’ workflows. Minimize effort with intelligent policies, CVE prioritization, and enhanced remediation guidance
Meet increasingly stringent compliance requirements. Save time and automate compliance workloads with granular policies. Comply with confidence with all must-have actions for SBOMA “software bill of materials” (SBOM) has emerged as a k... generation, sharing and reporting.
Are your AI/ML models inside or outside of your secure software supply chain? JFrog’s new Machine Learning Model Management solution bridges this gap, allowing you to store proprietary models, proxy public hubs, bundle models for release, and scan for security issues.