Overview
Trusted by millions of developers, engineers, architects, and security professionals at thousands of enterprises, including the majority of the Fortune 100, the cloud-native JFrog Software Supply Chain Platform is the single source of truth for all software packages, data, and ML models utilized and generated in the development process.
The JFrog Platform on AWS manages all software inputs and outputs, providing organizations with complete visibility across their supply chain. This flexible, massively scalable, and hybrid platform helps improve developer efficiency by reducing wait times from builds to security scans. It allows organizations to take to the clouds with agility, leveraging both managed and self-managed instances. Critically, it enables teams to manage application risk end-to-end by applying evidence-based policies across the SDLC. Finally, the JFrog Platform helps accelerate AI/ML pipelines by treating models like a package, simplifying AI development and ensuring the success of initiatives.
Contact JFrog at cloud@jfrog.com for private offers on annual subscriptions, or visit <www.jfrog.com/pricing > for more information.
The JFrog Platform is often leveraged to consolidate enterprise DevSecOps solutions for companies utilizing GitLab, Sonatype, Snyk, or Veracode, among other solutions. Key capabilities include:
- Universal artifact management with JFrog Artifactory
- Modern, holistic SCA with JFrog Xray
- Contextual analysis of vulnerabilities with JFrog Advanced Security
- Early blocking of malicious open source packages with JFrog Curation
- Application risk governance with JFrog AppTrust
- Control and govern AI/ML development with JFrog ML
- Simplify model discovery and access with JFrog AI Catalog
- AI-assisted remediation with Agentic Software Supply Chain Security
- Real-time Kubernetes security monitoring with JFrog Runtime
- Speed up secure software consumption with JFrog Distribution
- IoT device management with JFrog Connect
- Includes 24x7 Support and in-region 99.99% uptime SLA, plus an assigned support resource with regular touch points
Highlights
- 50+ natively supported package and file types, including ML models and generic repositories.
- Comprehensive, enterprise-grade security solution integrated across the entire SDLC, eliminating tool sprawl and alert fatigue. Go beyond scanning with contextual analysis and vulnerability prioritization, anti-tampering mechanisms, and signed provenance, ensuring best practices and compliance.
- Fast, secure distribution of verified, multi-repository release bundles to sync large-scale geo-distributed teams and accelerate deployments to any target: SaaS, self-managed, or connected devices.
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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Customer reviews
Ultimate Safety Net for Large Teams
JFrog Xray Stands Out Among DevOps Tools
User-Friendly with Seamless CI/CD Integration
JFrog Streamlines Artifact Management and CI/CD Integration
AI Model Governance is a big one. JFrog AI Catalog lets teams identify and access AI models approved for use within their org, with governance controls over AI added to applications JFrog — essential as AI adoption accelerates across teams.
Shadow AI Detection adds visibility we didn't have before. It gives enterprises control over unmanaged AI models and API usage, guarding against security and compliance risks from uncontrolled AI adoption. JFrog
Auto-remediation is a real time-saver. JFrog can now automatically replace risky packages with approved compliant versions JFrog, reducing manual triage significantly.
Proven ROI makes the investment easy to justify. A Forrester study found the platform delivered 282% ROI and saved 38 hours per developer on onboarding.
UI Cohesion — As JFrog adds products like AppTrust, AI Catalog, and Advanced Security, the experience between modules still feels disjointed. A more unified interface would help daily usability.
Pricing Transparency — It's not always clear which newer features are included in existing plans versus requiring upgrades, making budgeting harder for smaller teams.
Documentation for Advanced Use Cases — Complex setups like multi-repo configurations or custom SBOM workflows often require piecing together answers from community forums rather than official docs.
Uptrust Timeline — JFrog's supply chain trust product isn't expected until September 2026 Investing.com, leaving a gap for teams who need those capabilities now.