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Inside EveryOps APAC: What India and Australia’s Tech Leaders Are Focused On

June 12, 2026 Sunny Rao, JFrog SVP, APAC

5 min read

Last June, we hosted the first EveryOps Day in Sydney - born from the convergence of DevOps, DevSecOps, and AI/MLOps we were witnessing across every industry in APAC. A year later, with AI's proliferation across software delivery and security, we took EveryOps Day to Mumbai on May 15, then embarked on the EveryOps Tour: a…

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How to Validate Policy-as-Code Without Breaking Builds (Even When AI Writes the Code)

How to Validate Policy-as-Code Without Breaking Builds (Even When AI Writes the Code)

June 11, 2026 Segev Sharabi, JFrog Senior Product Manager, DevGovOps | 6 min read

Picture two realities for the same compliance control reaching production. Reality One: Your AppSec team writes a new rule. An engineer uses Claude Code or Cursor to generate the OPA (Open Policy Agent) Rego policy in minutes. They deploy it. It blocks a legitimate release on a missing context variable, and the on-call engineer routes…
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The Governance Gap: What IDC’s 2026 Data Reveals About AI and the Software Supply Chain

The Governance Gap: What IDC’s 2026 Data Reveals About AI and the Software Supply Chain

June 10, 2026 Yuval Fernbach and Asaf Barkan | 4 min read

In a landscape where executive teams demand immediate AI integration, engineering and security leaders find themselves navigating a complex operational balancing act. To explore how organizations can accelerate delivery pipelines without introducing fatal security risks, JFrog recently hosted a virtual panel discussion titled "Agentic Software Delivery in 2026: How to Bridge the Gap Between AI…
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Introducing Package Traffic Controller: Software Supply Chain Security at the Network Edge

Introducing Package Traffic Controller: Software Supply Chain Security at the Network Edge

May 27, 2026 Sean Pratt, Senior Manager, JFrog | 6 min read

Imagine this: your security team has done everything right. All development teams are using a centrally managed artifact repository with scanning in place. Your engineering organization has clear policies about where packages can come from. You feel good about your software supply chain posture. Then an incident review surfaces something nobody planned for: a compromised…
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The Governance Gap Between Your Policy and Your Pipeline

The Governance Gap Between Your Policy and Your Pipeline

May 20, 2026 Achinoam Katsoff-Sitton, JFrog Product Marketing Manager, DevOps | 8 min read

Security teams are under more pressure than ever, and most of them believe they're keeping up. That confidence, it turns out, may be the most consequential finding in the JFrog 2026 Software Supply Chain Security State of the Union. Across 18.2 billion artifacts analyzed, independent vulnerability research from the JFrog Security Research team, and a…
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The Agent Has Entered the Supply Chain

The Agent Has Entered the Supply Chain

May 19, 2026 Carmit Hershman, JFrog Senior Software Architect, CTO Office | 9 min read

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…
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Accelerating AI Agent Development on Google Cloud with JFrog MCP Registry

Accelerating AI Agent Development on Google Cloud with JFrog MCP Registry

April 28, 2026 Guy Eshet, JFrog Senior Manager, Product Management | 5 min read

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…
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Building a Governed AI Model Supply Chain: Integrating AWS SageMaker and the JFrog Platform

Building a Governed AI Model Supply Chain: Integrating AWS SageMaker and the JFrog Platform

April 22, 2026 Grig Duta, JFrog Solution Engineer Rami Pinku, Senior Product Manager, JFrog ML | 9 min read

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…
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