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Native Xet Protocol Support in JFrog Artifactory: How Enterprise Model Management Actually Works

Jun 24, 2026 By Zohar Sacks In JFrog
Machine learning models are not like other software artifacts. A single fine-tuned LLM can weigh 70 GB. A model family may share 95% of its weights across dozens of variants. When hundreds of developers, training jobs, and GPU clusters all need the same model at the same time, the infrastructure underneath needs to be built for it.
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Stop Treating Coding Agent Plugins Like Settings: Introducing Agent Plugins Repositories

Jun 23, 2026 By Adam Browning In JFrog
Your developers install agent plugins every day: pulling from unmanaged GitHub repos, copying Cursor commands out of Slack, pointing Codex at a personal Git fork. Each of those is a new, uncontrolled distribution channel inside your software development lifecycle, and your platform team has zero visibility into any of it. A plugin is not a preference file. It is executable software, and right now it’s arriving on developer machines with no versioning, no provenance, and no audit trail.
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Keep your Agents Under Control with agent-belt

May 19, 2026 By Dor Ringel In JFrog
You’re shipping a product with an AI-facing interface, or embedding AI-facing interfaces across your existing product line – skills your customers trigger, MCP servers their agent reaches for. Indie author or enterprise, your code runs in someone else’s agent runtime, against a model that updates every other day and a CLI that updates every other week. Cursor 2026.05.05-84a231c rolls out. Claude Code 2.1.132 lands the same week. OpenAI bumps gpt-5.5.
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jfrog

Three Architectural Principles for Mythos & GPT-Cyber Readiness

May 11, 2026 By Nir Peleg In JFrog
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.
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Accelerating AI Agent Development on Google Cloud with JFrog MCP Registry

Apr 28, 2026 By Guy Eshet In JFrog
Developers building agentic AI on Google Cloud have powerful infrastructure at their fingertips: Gemini 3 for reasoning, Google’s Agent Development Kit (ADK) for orchestration, and a rapidly expanding ecosystem of Model Context Protocol (MCP) servers that connect agents to data and tools. So why are so many teams still waiting weeks to ship their first agent to production?
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Under the Hood: Engineering JFrog Premium Availability

Apr 22, 2026 By Michael Tulp In JFrog
In the modern software factory, 99.9% uptime is no longer the gold standard. A standard 99.9% SLA translates to approximately 43 minutes of unexpected downtime per month. While industry data shows that a single minute of downtime costs an average of $9,000, for large global enterprises, that figure can easily be 5x higher. At tens of thousands of dollars per minute, those 43 minutes quickly compound into a catastrophic financial and operational risk.
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(AusBiz) JFrog teams up with Nvidia to manage AI agents

Apr 13, 2026 By JFrog In JFrog
AI agents are making real-time decisions inside enterprises right now; pulling code, accessing tools, executing tasks. But most businesses have zero visibility into what those agents are actually using. In this interview on @ausbizTV, Sunny Rao, SVP APAC at JFrog, explains why the governance gap is one of the biggest risks facing enterprises today; and how JFrog and NVIDIA are building the trust layer to fix it.
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SAS Enhances Security and Compliance with the JFrog Platform

Apr 9, 2026 By JFrog In JFrog
This video features Brett Smith, a distinguished software developer at SAS Institute, discussing how the company secures its software production pipelines for its flagship AI and machine learning platform, SAS Viya 4. SAS initially utilized JFrog Artifactory for managing Java-based Maven and Ivy artifacts. To address the increasing need for robust security and compliance with global regulations, the company expanded its partnership with JFrog by integrating additional security tools to protect their delivery pipelines.
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Ending the Chaos of CLI Version Drift: Introducing the JFrog CLI Control Manager

Apr 2, 2026 By Sean Pratt In JFrog
In a large-scale DevOps environment, small discrepancies lead to massive headaches. You’ve likely experienced it: a script runs perfectly on a developer’s laptop but fails in the production pipeline. You spend hours hunting for the cause, only to discover a mismatch in CLI versions. At JFrog, we know the JFrog CLI is vital to your automation, but managing it manually across thousands of users and pipelines is a hurdle that slows you down.
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jfrog

Beyond Mirroring: 5 Reasons Your DevOps Strategy Depends on Repository Federation

Mar 10, 2026 By Achinoam Katsoff-Sitton In JFrog
For today’s leading enterprise computing environments, the concept of “centralized headquarters” is a relic. Today, R&D happens on different continents, spanning cloud, on-prem and hybrid environments, while stretching across multiple regulatory jurisdictions. But here is the hard truth: Most global organizations are still managing their binaries using legacy mirroring or “blind” infrastructure-level syncing. They treat artifact delivery like a basic file-transfer mechanism.
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