Practical Governance for Enterprise AI
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Trend Micro published a research report titled 'From Anarchy to Authority: Closing the Governance Gap in Agentic AI' arguing that agentic AI systems fundamentally change enterprise risk profiles by enabling a single manipulated instruction or poisoned input to cascade across interconnected systems. The report recommends that organizations inventory all deployed agents, apply least-privilege and least-agency defaults, treat agent tools and extensions as supply-chain risks, and require human approval for high-impact autonomous actions. The findings apply globally to any enterprise deploying or evaluating agentic AI systems.
Atos published a practitioner-oriented AI governance playbook on May 30, 2025, arguing that effective enterprise AI adoption requires a federated model combining local business-unit autonomy with centralized governance controls. The playbook identifies five critical control domains: centralized governance structures, identity and lifecycle management, data governance, agent deployment oversight, and executive review of AI use cases prior to scale-up.
