Before tackling AI governance, you must fix the foundation. Learn how to master Pillar 1: Consolidate in part one of our Trusted AI blog series.

JFrog is a leading provider of DevOps and software distribution solutions, offering tools for artifact management, continuous integration, and binary repositories. Developers can learn about software delivery pipelines, artifact management best practices, and CI/CD automation to accelerate their software delivery process and ensure reliable and secure software releases using JFrog's platform.

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Enterprises unknowingly operate two parallel AI and software supply chains: a mature, governed DevOps pipeline and an ungoverned 'shadow' AI supply chain where developers pull models directly from public hubs and run unvetted MCP servers. The solution is consolidation—treating AI assets (models, MCP servers) exactly like traditional software artifacts by routing them through the same centralized registry, proxying public hubs, enforcing security scans, and maintaining full version traceability. This merges both tracks into a single source of truth, enabling governance without sacrificing developer velocity. This is the first of a five-part series on trusted AI adoption pillars.

Trusted AI Adoption (Part 1): Consolidation

The Payoff: One Source of Truth for the AI Era