When AI Outpaces Security: A Guide to Regaining Control of Your Agentic Supply Chain

Your security tools can't see inside a model binary. They can't detect a poisoned payload, an over-privileged agent, or a shadow AI workflow running outside your pipeline. Each of these issues raises the cost of a breach. That blind spot is about to get much more expensive: 40% of enterprise applications are forecast to include task-specific AI agents by the end of 2026, and McKinsey found nearly two-thirds of organizations already name security as their top barrier to scaling agentic AI.

The answer is to treat AI components like any other software binary. This guide from JFrog shows how to govern a sprawling ecosystem of AI artifacts, scan opaque models before deployment, and combine shadow AI detection, centralized registries, automated policy, and secure gateways into end-to-end control.

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