Software Engineering

Governed artifact, dependency, security, and MCP workflows for coding agents

Connect AI coding agents to approved artifact repositories, security scanners, package governance services, and managed MCP catalogs so developers can search internal artifacts, run CVE and policy checks, validate dependencies, and use sanctioned agent integrations without leaving their coding environment.

Why the human is still essential here

Developers, security teams, and platform owners still decide which resources and MCP servers are trusted, interpret findings, prioritize remediation, approve exceptions, and remain accountable for release readiness and governance policy.

How people use this

Inline CVE lookup

A developer asks Claude Code to check a package or container image for known CVEs and summarize the findings inside the coding session.

Claude Code / JFrog Xray

Artifact repository search

The agent retrieves approved internal libraries, build artifacts, or container images from the company repository without the developer leaving the editor.

Claude Code / JFrog Artifactory

Release readiness audit

Before merging or shipping, the agent runs software supply chain checks and surfaces policy violations for developer and security review.

Claude Code / JFrog Xray

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Blog

Our AI Agent Now Has a Security Conscience: Introducing the JFrog Plugin for Claude Code

AI coding agents are changing the pace of software development. With tools like Claude Code, developers can move from idea to implementation faster than ever, generating code, exploring unfamiliar repositories, refactoring services, and turning plain-language intent into working software. That speed is powerful. But speed without governance = risk. It also creates a new challenge: how can you govern what an AI agent builds, suggests, and pulls in from the internet?

YA
Yonatan ArbelJFrog Developer Advocacy Lead
Jun 10, 2026