AI Engineer · October 14, 2026

Enterprise agents: test identity, sensitive-action approval, and data handling

video Agent Security AI Engineering AI Compliance

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Why it matters

Harish Gaggar describes an enterprise agent platform combining a registry, workload identities, an MCP gateway, tracing, and approval steps for sensitive writes. The architecture links agent provisioning with tool access and data handling. These are useful enforcement points to inspect, but the presentation does not prove that its private controls prevent misuse or that a gateway alone confines an agent.

My takeaway: Use synthetic accounts to test expired credentials, cross-user tool requests, and a sensitive write without approval. Trace a harmless secret or personal-data canary through model input, memory, and logs to check filtering. Retain authorization and approval evidence, and measure missed redactions as well as blocked requests.

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