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 way software gets built has changed faster than the standards that govern it. AI agents now create pull requests, select dependencies, refactor codebases, interpret test failures, and execute infrastructure changes across the entire Software Development Life Cycle (SDLC). AI agents are autonomous team members, but unlike human engineers, they are ephemeral: their reasoning, decisions, …
Every developer on your team now runs multiple agents. None of them are waiting for human sign-off to act. That’s exactly the gap we discussed and closed at swampUP 2026. JFrog unveiled new capabilities that extend the JFrog Platform as not only the Single Source of Truth for OSS and heritage software, but now the …
Live updates from this event have concluded. swampUP 2026 is officially LIVE in New York City! Three days, one stage, one mission: rebuild trust for a software supply chain that increasingly ships itself. Keynote updates land here as they happen, September 1–3, 2026. Let’s go! Conference Day 2, September 3rd [11:00 a.m.] The Great Model …
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 …
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: …
Since Anthropic announced Project Glasswing and the capabilities of Claude Mythos Preview, and OpenAI announced GPT-Cyber – my calendar has looked the same every day: Back-to-back calls with CISOs, AppSec leads, and security architects. And every call starts with the same question: “What do we need to do to prepare?” It’s the right question. But …
Amazon SageMaker accelerates the process of training and deploying machine learning models. However, as AI adoption scales from individual experiments to enterprise-wide production, the focus of leading Fortune 500 software development operations and security teams must shift from pure velocity to governance. The question is no longer just “Can we ship this model?” but “How …
Picture this: Your security team finishes an AI vendor evaluation. The offering looks ironclad, with content filtering, output guardrails, and a stellar red-teaming report. Everyone leaves the meeting satisfied, and another governance box is checked. Six months later, a production incident hits. An AI agent, powered by a model your team “vetted,” starts executing unauthorized …
Let’s talk about agent skills. As the AI agent ecosystem matures, we’re seeing a major shift in how users equip agents to run automated workflows. While robust protocols such as MCP exist to handle complex system integrations and authentication, skills have emerged as the go-to, low-friction way to shape an agent’s day-to-day behavior. Skills are …
Claude 
Cursor 
Codex 
Hugging Face 
NVIDIA 
Visual Studio Code 
Devin 
Kiro 
Open Code 
NanoClaw 
Docker 
npm 
PyPy 
Wiz 
Financial Services 
Gaming 
Public Sector 
Automotive 
Technology 
Healthcare 
