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JFrog Software Supply Chain Platform

JFrog

JFrog Software Supply Chain Platform

JFrog

Achieve end-to-end visibility, security, and control for automating delivery of trusted releases.

Trusted by millions of developers, engineers, architects, and security professionals at thousands of enterprises, including the majority of the Fortune 100, the binary-centric JFrog Platform is the single system of record for software releases. All software development inputs and outputs flow through and are managed by JFrog, providing organizations complete visibility across their software supply chain. This provides a central point of control for standardizing, securing, and automating the process of delivering trusted software.

The massively scalable, hybrid JFrog Platform on Microsoft Azure is flexible and integrated with all the software package technologies and tools comprising the modern software supply chain. Organizations benefit from full traceability to any type of release and deployment environment including ML models, software that runs on the edge, and software deployed in production data centers.

Contact JFrog at cloud@jfrog.com for private offers on annual subscriptions, or visit https://jfrog.com/pricing/#public-marketplace-azure for more information on pricing.

As the single system of record for secure, automated software releases, the JFrog Platform is often leveraged to consolidate enterprise DevSecOps solutions for companies utilizing GitLab, Sonatype, Snyk, or Veracode, among other notable solutions.

Key capabilities include:

  • Universal artifact management with JFrog Artifactory

  • Modern, holistic SCA with JFrog Xray

  • Deep scanning for real-world risk analysis and exposure discovery with JFrog Advanced Security

  • Speed up secure software consumption with JFrog Distribution

  • CI/CD automation and orchestration with JFrog Pipelines

  • IoT device management with JFrog Connect

  • Early blocking of malicious open source packages with JFrog Curation

  • AI/ML model management and security (ML Model Registry)

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