JFrog offers an integrated, API‑driven platform that manages binary artifacts, open‑source components, and AI/ML models across the software supply chain. It combines universal repository storage, automated security scanning, policy‑based governance, and scalable distribution to ensure secure, compliant delivery of code and models.
Funding
Funding not disclosed
+2Founders
Product
Problem
Software development teams struggle to manage, secure, and distribute the growing number of binary artifacts, open‑source components, and AI models across diverse tools and environments, leading to supply‑chain vulnerabilities, version conflicts, and inefficient release processes.
Solution
JFrog provides an integrated platform that unifies binary artifact management, security scanning, governance, and AI/ML asset handling within a single, API‑driven solution. Developers store and retrieve packages in scalable repositories, while automated scans detect open‑source vulnerabilities, license issues, and secret leaks throughout the software development lifecycle. Policy engines enforce compliance and release‑gate criteria, and the platform’s distribution capabilities deliver trusted artifacts to any consumption point. AI and machine‑learning assets are cataloged and governed alongside code artifacts, enabling consistent, secure delivery of both software and models. All components are accessible via web UI, CLI, and native integrations with over 100 CI/CD and DevOps tools.
Target Audience
Primary customers are enterprise software development and DevOps teams, as well as organizations building AI/ML applications that require secure, governed management of code, binaries, and model assets.
Features
- Universal binary repository supporting all major package formats (Maven, npm, Docker, Helm, Conan, etc.) with high‑availability storage
- Integrated security suite (Xray) that performs software composition analysis, SAST, secrets detection, and IaC scanning with contextual vulnerability prioritization
- Governance engine that applies policy‑based release controls, license compliance, and automated promotion across environments
- AI/ML asset management that catalogs models, tracks lineage, and enforces governance for AI pipelines
- Seamless integrations via REST APIs, webhooks, and native plugins for GitHub, GitLab, Jenkins, Azure DevOps, ServiceNow, and more than 100 tools
- Scalable distribution service (Distribution) that replicates and delivers artifacts securely to edge locations and runtime environments
- Centralized web dashboard and CLI for end‑to‑end visibility of artifact lifecycle, security findings, and compliance status