JFrog

JFrog offers a robust platform designed to provide end-to-end visibility, security, and control for automating the delivery of trusted software releases. Key components of the JFrog Platform include JFrog Artifactory, a universal artifact and ML model repository manager, and JFrog Pipelines, which delivers enterprise-grade CI/CD and workflow automation. JFrog Distribution ensures fast and secure distribution across various consumption points, while JFrog Curation allows for seamless curation of software packages and ML models. JFrog Security Essentials (Xray) integrates software composition analysis (SCA) for software artifacts and ML models, and JFrog Advanced Security offers software supply chain security exposure scanning and real-world impact analysis. JFrog Connect provides IoT device management with DevOps agility. The platform supports over 30 technology types with out-of-the-box support and powers organizations to build, distribute, and automate software updates to the edge. JFrog offers a hybrid and multi-cloud solution, supporting tool choices and deployment targets across self-hosted, cloud, and multi-cloud environments. A Total Economic Impact (TEI) study by Forrester Consulting reported a 393% ROI in 6 months with accelerated software delivery using JFrog’s platform. JFrog provides a centralized platform for DevOps, DevSecOps, and MLOps teams, featuring artifact management, tool consolidation, CI/CD, holistic software supply chain security, source code scanning (SAST), SCA, secrets detection, and infrastructure as code (IaC) security. The platform is used by the majority of Fortune 100 companies and millions of developers globally. JFrog offers comprehensive solutions for managing and securing AI/ML models, including advanced security features like contextual analysis, secrets detection, and IaC security. The platform supports the creation and management of SBOMs (Software Bill of Materials) in standard formats like SPDX and CycloneDX and includes malicious package detection based on automated scanning of public repositories. Operational risk policies allow blocking of undesired packages based on attributes such as maintenance cadence and number of maintainers. JFrog integrates with popular IDEs and DevOps environments, enabling seamless developer workflows. The platform supports the integration of AI/ML components into the software supply chain with security and compliance controls, offering a unified view of software components, including AI/ML models, images, and various package types. Advanced model versioning, access controls, and distribution capabilities for AI/ML models are also included.