NVIDIA 
Cursor 
GitHub 
Docker 
Maven 
Finanzdienstleistungen 
Öffentlicher Sektor 
Technologie 
Gesundheitswesen 
Gaming 
Automobilbranche 
Enterprise 
of all code shipped to production today is AI-authored
GitClear
Agents Build it. Agents Run It. Now You Can Govern Both.
AI agents now build software, connect to MCP servers, use skills and plugins, and ship releases. JFrog governs them all in a single system of record to ensure trusted software delivery.
Agent don't wait for permission
50
%
7.4
x
Growth of malicious packages and AI assets in the last three years
OpenSSF & JFrog Security Research
4
/5
Enterprises have no governance framework for coding agents
Deloitte
JFrog is applying its foundational expertise in artifact management to solve a critical enterprise AI challenge. By doing so, they are establishing a necessary layer of trust within a software supply chain that is becoming both more autonomous and increasingly complex.
How Do You Trust Software Built by AI?
Trust needs to be engineered. It is created when visibility, intelligence, and
enforcement all work together.
enforcement all work together.
Single Source of Truth
One source for your agents and developers, where every binary, package, model, MCP server, and skill is versioned, tracked, and auditable.
Contextualized Intelligence
Knowing where an artifact lives isn't enough. Trust has to be computed from evidence: vulnerabilities, license risk, provenance, and behavioral signals.
Built-in Governance
When agents ship faster than humans can review, every policy across security, compliance, and operations has to be continually enforced, at every stage, across every artifact.
Trust your coding agents with JFrog
From the first pull to the last ship
Agentic Software Supply Chain
Secure the software your agents build so that every binary they produce is scanned, verified, and released through the same controls for your human-written code
Governed Agent Access
Govern and enforce every AI asset your coding agents consume, as native artifacts in your software supply chain – all at the speed agents demand.
Natively Integrated with your AI Ecosystem
Bring enterprise-grade security and governance to any agent. JFrog integrates across your stack, ensuring trust travels with your developers regardless of the tools they use.
Every Layer of Your Supply Chain, Covered.
We give you the controls to ship AI-native software you can actually stand behind.
Block Risks Pre-Pipeline
Every package, model, and MCP server gets policy-screened before it reaches your pipeline.
Cut Agent Token Costs
Turn terminal noise into useful context that improves agent performance and reduces token usage.
Catalog with Coding Agents
Give every coding agent a vetted, pre-approved catalog of AI assets to pull from. Eliminate risky open-internet fetches without compromising machine speed.
Scan Everything You Ship
Deep vulnerability analysis across every binary, container, and AI asset in your supply chain — before it reaches production.
One Source of Truth
Eliminate disjointed point solutions. Every binary your teams build and ship, stored, versioned, and governed in a single universal artifact repository.
Agentic experience, by Design
Native plugins, MCP server, and agent skills that plug JFrog into every coding agent your developers already use. No vendor lock-in, just governance that travels with your stack.
Deep dive into JFrog's AI Capabilities
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An agentic software supply chain is a software delivery pipeline where AI agents autonomously write, build, test, and deploy code with minimal human intervention. These agents pull packages, access models, and make deployment decisions at machine speed.
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Governance is required to ensure every agent action produces artifacts that are verified, policy-compliant, and traceable from source to production. JFrog is the only platform that governs both sides of the agentic supply chain in a single source of truth, without gaps, without compromise, and without forcing your teams to stitch together a security story from disconnected point solutions.
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JFrog AI Catalog automatically discovers every AI model, binary, and asset across your organization, including those adopted outside official procurement processes. Once discovered, each asset is inventoried, tagged, and brought under policy governance. Teams retain access to the tools they need while security and compliance teams gain full visibility and control.
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The JFrog Platform generates cryptographic attestations, provenance records, and AI Bills of Materials (BOMs) that map to requirements in the EU AI Act, SOC 2, ISO 27001, and NIST SSDF. These compliance artifacts are embedded directly in every binary and model, creating an auditable chain of evidence from source to production.
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Traditional scanning checks artifacts for known vulnerabilities after they are built. Computed trust verifies integrity, provenance, and policy compliance at every pipeline step, producing cryptographic proof that each artifact is safe before it moves forward. The result is a continuous chain of evidence rather than a point-in-time scan.
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JFrog connects to your existing agentic ecosystem instead of requiring you to adopt a new one. The JFrog MCP Server gives any MCP-compatible agent direct access to JFrog data and actions, like checking artifact status, running scans, or pulling governed packages. Native plugins extend this further into the coding agents your developers already use, such as Claude Code, Cursor, and VS Code, so governance is built into the environment. JFrog Skills package common workflows (security checks, release gates, compliance reviews) into reusable actions your agents can call directly.
