JFrog immunizes what agents consume and controls how they build and deploy — every AI model, agent skill, plugin, MCP server, package, and AI-generated artifact, governed in a single source of truth.
A trusted agentic workforce.
This is AgentSecOps.
The universal and adaptable JFrog Platform solves essential cross-industry agentic software supply chain challenges.
Accelerate software delivery while meeting strict regulatory standards like HIPAA and FedRAMP
Note: This blog was updated on 28-Sep-2026. AI agents are part of the modern development workflow. They write code, review pull requests, generate tests, call tools, interact with MCP servers, and help developers move faster. But behind every useful agent, there is something just as important as the model itself: the context that tells the …
JFrog is one of the first Software Supply Chain Management and Security Platforms to provide MCP functionality, which we have now opened up to anyone interested in trying Claude and Cursor in their own development environment. Doing a free trial is one of the best ways to see how JFrog integrates with your developers, operations …
Software Delivery in the Age of Agents The way software gets built has fundamentally shifted. AI coding agents are no longer just autocomplete on steroids; they’re resolving packages, configuring environments, selecting tools, and in some cases running the entire development lifecycle, with or without a human in the loop. But here’s the problem: the tools …
Agents are writing code, suggesting dependencies, and reviewing PRs, without any knowledge about your trusted package sources, security posture, or governance policies. When agents operate without supply chain context, they introduce risk, create rework, and weaken the guardrails DevSecOps teams rely on to ship with confidence. JFrog is changing that. Today, we’re launching an official …
In an AI-native world where Model Context Protocol (MCP) is the universal standard for AI connectivity, the security and governance stakes have never been higher. AI’s ability to take autonomous action through MCPs means that a single breach of an MCP server can grant attackers control over mission-critical enterprise systems, putting enterprises in an immediate …
Imagine your lead Software Engineer walks into your office and says, “Good news! I just deployed that critical update to production. I wrote the code on my personal laptop, didn’t run it through CI/CD, skipped the security scan, and just copied the files directly to the server with a USB drive.” You would fire them. …
The race to adopt AI agents has created a massive, unmonitored blind spot in the enterprise software supply chain. At the heart of this revolution is the Model Context Protocol (MCP) – an open connectivity standard designed to move AI models (LLMs) out of their passive “chat box” and give them direct active access to …
JFrog Security Research recently discovered and disclosed multiple CVEs in oatpp-mcp – the Oat++ framework’s implementation of Anthropic’s Model Context Protocol (MCP) standard. Among these, CVE-2025-6515 stood out due to its potential threat of hijacking MCP session IDs. Within the context of MCP we’ve dubbed this new attack technique “Prompt Hijacking“. Your browser does not …
Good news! You no longer have to be a DevOps or JFrog expert to harness the power of the JFrog Software Supply Chain Platform. With the introduction of JFrog’s MCP Server, we’re making the JFrog Platform accessible to your favorite large language models (LLMs). Now, every developer can take advantage of the detailed security and …
The JFrog Security Research team has recently discovered and disclosed CVE-2025-6514 – a critical (CVSS 9.6) security vulnerability in the mcp-remote project – a popular tool used by Model Context Protocol clients. The vulnerability allows attackers to trigger arbitrary OS command execution on the machine running mcp-remote when it initiates a connection to an untrusted …
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