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
The riskiest thing agents do all day isn’t writing code; it’s “shopping”. Every minute, they reach out to the internet for a package, a plugin, or an MCP server and consume them with no verification or guarantee of what’s inside. Most of the industry is trying to make agents “shop” safely from the outside by …
Join us at swampUP New York, September 1-3, for our joint session Trusted AI Delivery at Scale: Securing Every Artifact from Curation to Cloud, where we walk the full chain of custody from the moment a package enters your organization to the moment your agent runs on Amazon Bedrock AgentCore. Register here. AI agents …
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 …
AI agents are changing how software gets built, but the infrastructure around them hasn’t caught up. Agents burn through tokens on noise. They take actions they shouldn’t. Context evaporates between releases. And most delivery pipelines were never designed for the pace and volume of agentic development. On June 11th we brought together developers in San …
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 …
AI agents are rapidly evolving from simple text generators into powerful autonomous assistants that can browse the web, book travel, and extract complex data on our behalf. This new “agentic” AI, which operates in a “sense-plan-act” loop, promises to revolutionize how we interact with the digital world. But as we grant these agents more autonomy …
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Visual Studio Code 
Devin 
Kiro 
Open Code 
NanoClaw 
Docker 
npm 
PyPy 
Wiz 
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