JFrog AI | JFrog

Do You Trust Your Agentic Workforce?

Your agents build software, connect to MCPs, use skills, and ship software at incredible speed. JFrog immunizes what your agents consume and controls how they build, so you can trust your agentic workforce.

Agents Don't Wait for Permission

-107%
of all code shipped to production today is AI-authored
GitClear

-15.9x
Growth of malicious packages and AI assets in the last three years
OpenSSF & JFrog Security Research

-9/5
Enterprises have no governance framework for coding agents
Deloitte

What is a Trusted Agentic Workforce?

A trusted agentic workforce is one where every artifact your agents consume, build, and ship is governed from a single source of truth. Models, MCP servers, skills, plugins, packages, and code are all part of the same supply chain, so trust can’t be bolted on from the outside. It has to be engineered into where software is built: immunize what agents consume before they write a line of code, heal what they build as they build it, and prove everything they ship.

Seven Core Principles for Building a Trusted Agentic Workforce

Trust has to be engineered into the agent itself. This is the architecture for making that real.

One Source. One Truth.

Security, lineage, policy, and signed evidence travel with every artifact, from binaries to AI assets, in one system of record.

Agent Immunization

Immunize every agent with layered defense, so it consumes only approved MCP servers, skills, and plugins, vetted before the pull.

Named and Scoped Agents

Every agent gets a unique, verifiable identity and only the access its task needs. No shared accounts, no inherited god-mode.

Prioritize Through the Noise

Scan everything agents consume and produce, then rank by exploitability, not raw severity.

Fix Once. Heal Everywhere.

When a safe fix for a vulnerability exists, apply it automatically and let it propagate to every release that depends on it.

Engineered Governance

Tie every pull, build, and ship to a named agent identity, stored with the artifact. The audit answer is already there.

Trust That Travels

Trust reaches agents as native capabilities in the tools they already use. Connect once, and whatever comes next is governed automatically.

How Does JFrog Help You Trust Your Agents?

Immunize What Agents Consume

Immunize your agents against untrusted AI assets. Every MCP server, skill, and plugin is vetted and governed at the pull, through the same controls your software already runs.

Control How Agents Build and Deploy

Every binary is scanned, prioritized by real exploitability, and remediated automatically, then released through the same controls as your human-written code, with logged evidence behind every action.

Natively Integrated with your AI Ecosystem

JFrog integrates across your stack, ensuring your trusted single source of truth travels with your agents.

Every Layer of Your Agentic Software Supply Chain, Covered

JFrog gives you the controls to ship AI-native software you can actually stand behind.

Cut Agent Token Costs

Turn terminal noise into useful context that improves agent performance and reduces token usage.

Block Risks Pre-Pipeline

Every package, model, and MCP server gets policy-screened before it reaches your agents and your software pipeline.

Catalog for Agents

Give every agent a vetted, pre-approved catalog of AI assets to pull from. Eliminate risky open-internet fetches without compromising speed.

Scan Everything Agents Ship

Deep vulnerability analysis across every binary, container, and AI asset in your supply chain — before it reaches production.

Catch Bypassed Pulls

When agents or developers skip your controls, reroute their package requests through JFrog at the network layer, so nothing reaches your supply chain ungoverned.

Enforce Approved Assets

Route every coding agent through an authenticated bridge that validates each request, so agents can reach only the AI assets you’ve approved.

One Source of Truth

Eliminate disjointed point solutions. Every binary your teams ship and every AI asset your agents consume, 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 lock-in, just governance that travels with your stack.

Trace Agent Releases

Capture every agent interaction, commit, PR, and approval in a signed evidence chain from prompt to production. Proof ready the moment an auditor asks.

Deep Dive into JFrog's AI Capabilities

Governing AI in your software supply chain
A practical guide to automated trust verification for AI-driven pipelines.

How to Fix Enterprise AI Governance
Treat your models, MCP packages, tools, plugins, and skills as core software artifacts, and govern them proportionally.

Getting Started with the JFrog AI Catalog
Set up AI Catalog to inventory and govern AI assets across your organization.

Frequently Asked Questions

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.

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.

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.

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.

Traditional scanning checks artifacts for known vulnerabilities after they are built. Engineered 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.

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.