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Enterprise AI Agent Governance: A Layered Approach (Build, Deployment and Runtime)

ID: 535c933d-6ab1-5632-a986-0e2827e0d17d

STIX ID: report--535c933d-6ab1-5632-a986-0e2827e0d17d

Feed Name: Aryaka

Date Published: 2026-03-18

Date Updated: 2026-04-27

Author: Srini Addepalli

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### Executive Summary This document presents a three-layer governance model for enterprise AI agents—build-time, deployment-time, and runtime—detailing typical controls, configuration risks, and runtime enforcement mechanisms (e.g., prompt injection detection, data leakage prevention, tool-call validation). It emphasizes that secure agent scaling requires all three governance layers working together to prevent misconfiguration, mitigate dynamic runtime threats, and ensure accountability across the agent lifecycle.

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