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.
Run with a trusted agentic workforce.
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
Build a continuous audit trail for CRA, DORA, NIST SSDF, and CERT-In compliance.
On October 8, 2026, Anthropic announced OSS Scanner, a free, opt-in vulnerability scanning service for eligible open-source projects. The OSS Scanner is powered by their most capable models, including Claude Mythos. It scans codebases, identifies vulnerabilities, proposes patches, and sends reports directly to maintainers. As you read this, it has already identified real, high-severity issues …
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 …
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 …
Notice: JFrog AI Catalog is now JFrog AI Security. AI registries have moved to Artifactory, while AI asset curation is now managed in Curation. Learn more. As organizations aggressively shift from static Large Language Model (LLM) chatbots to fully dynamic, autonomous AI agents (e.g. systems designed to plan workflows, call APIs, write runtime code, and …
There’s a category of security risk that most organizations aren’t ready for. It doesn’t live in your code repository, your CI pipeline, or your developer laptops. It lives in your runtime, in the autonomous AI agents already running in your environment, extending their own capabilities, and making decisions that no human explicitly approved. This is …
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 …
The LiteLLM supply chain compromise of March 24, 2026, is not an isolated incident. It is the latest and perhaps most dangerous chapter in an evolving attacker playbook that JFrog Security Research has been tracking for years. The target has shifted from developers to the AI agents that developers now rely on to build software. …
The software supply chain is no longer just about shipping code, it is about managing intelligence and risk. As DevOps, DevSecOps, DevGovOps and AI/ML practices converge into a single AI-driven and increasingly agentic delivery pipeline, the demands on development and security teams have reached a new level. The platform that once managed packages and artifacts …
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 
