Trusted AI Adoption (Part 2): Detection

First in JFrog's five-part Trusted AI series: a governed software supply chain coexists with an unmanaged AI shadow supply chain of models, MCP servers and scripts—pillar one is consolidation.

With the rapid adoption of AI-enabled services into production applications, it’s important that organizations are able to secure the AI/ML components coming into their software supply chain. The good news is that even if you don’t have a tool specifically for scanning models themselves, you can still apply the same DevSecOps best practices to securing…

JFrog AI Catalog evolves into an AI control plane for the Agentic Development Lifecycle: models, skills, plugins, and MCP servers become native artifacts, so agents consume only approved AI assets.

JFrog introduces Agent Guard, which governs the MCP servers, skills and plugins coding agents can reach through three enforcement layers built into the agent itself, each closing a different bypass.

Drawing on IDC's 2026 survey of 1,000 organizations, JFrog panelists discuss AI as the top strategic mandate and why shadow AI has replaced shadow IT as a key unmanaged supply-chain risk.

JFrog frames 'AI blind spot debt' as the compounding cost of ungoverned AI: unvetted models, data leaking through personal API accounts, and MCP agents multiplying outside IT's view.