Your agents are only as trustworthy as what they consume, build, and ship. JFrog governs every AI model, agent skill, MCP server, AI-generated code, and assembled artifact in a single source of truth.
Secure your entire agentic software supply chain so you can ship trusted software at your new speed.
Somewhere in the last few months, the math of application security quietly broke. Anthropic’s Claude Mythos Preview didn’t just analyze code, it found a 27-year-old vulnerability in OpenBSD, a 16-year-old bug in FFmpeg, and a 17-year-old remote code execution flaw in FreeBSD, entirely on its own. Then it went further: it built working exploits for …
Software supply chain engineering has reached a critical inflection point. As autonomous AI coding agents transition from generating autocomplete suggestions to planning, writing, reviewing, and deploying entire software pipelines without humans in the loop, the connection between human intent and production binaries is fracturing. This shift has created a severe structural deficit across enterprise tech …
Malicious packages and AI assets have grown 7.4x in the last three years. And yet, four out of five enterprises have no governance framework for coding agents. The software supply chain has become agentic, yet most enterprises are still securing and governing it with the manual systems from the last era. This moment requires a …
Using JFrog CLI used to come with a catch. To run a build through it, you had to put it in front of the command. For example, jf npm install instead of npm install or jf mvn package instead of mvn package per the example below: npm install → jf npm install mvn package → …
What is DevGovOps? DevGovOps is a Software Supply Chain Engineering practice that integrates continuous governance and compliance into the DevOps software delivery lifecycle. Rather than treating compliance as a retrospective, manual hurdle, DevGovOps ensures that policy enforcement, continuous auditability, and cryptographic traceability are natural outputs of every release. By shifting from point-in-time checks to continuous …
AI agents and LLMs are already building, analyzing, and deploying code across your software development lifecycle. As software supply chains become increasingly AI-driven, proactive security and access controls are your only path to success. To effectively govern authentication and permissions without sacrificing development speed, you must update your access management strategies. By securing the AI …
The recognition is new; the commitment behind it isn’t. It’s official. Gartner just published the very first Gartner® Magic Quadrant™ for Software Supply Chain Security, and JFrog has been recognized as a Leader, placing highest for Ability to Execute among all the vendors included. For an inaugural report in a category this important, that placement …
For years, installing an npm package has meant trusting that every package in the dependency tree will behave as expected. Whether code originated from the npm registry, a Git repository, a remote URL, or an installation script buried deep within a transitive dependency, npm would typically execute or retrieve it automatically during the installation process. …
A new CVE drops into a package you depend on. With the JFrog power for Kiro installed, your next move is a single prompt in your IDE, not a tab switch to the JFrog UI and thirty minutes of hand-rolled REST calls. This is what governed agentic development looks like in practice. If your team …
In a landscape where executive teams demand immediate AI integration, engineering and security leaders find themselves navigating a complex operational balancing act. To explore how organizations can accelerate delivery pipelines without introducing fatal security risks, JFrog recently hosted a virtual panel discussion titled “Agentic Software Delivery in 2026: How to Bridge the Gap Between AI …
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