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A leading U.S. life insurer set out to move autonomous AI from experiment into production, without giving up the identity, authorization, and audit controls its regulators require. Working with PointGuard AI, the security team ran a hands-on evaluation of how to govern the complete path a request travels: from a user, through an agent, across Model Context Protocol (MCP) infrastructure, and out to enterprise tools and data.
PointGuard deployed the MCP Security Gateway as a single control point for authorizing, inspecting, and logging every agent action; added on-behalf-of authorization so each action stays attributable to the individual user; and layered agent identity, discovery, and governance across the environment. The outcome is a governed, repeatable reference architecture the organization can reuse to scale agentic AI with confidence, the focus of this detailed case study.
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