How Enterprises Govern Agentic AI at Scale | Agentic AI | Episode - 11
Автор: EC Infosolutions
Загружено: 2026-02-10
Просмотров: 3
Описание:
Agentic AI changes the risk profile of software.
The moment AI can access enterprise data, trigger workflows, modify records, or communicate externally, governance is no longer optional. It becomes a day one architectural requirement.
In this episode - 11, we break down how enterprises technically govern agentic AI systems at scale. Not with policies or intent statements, but with enforceable systems that control identity, permissions, autonomy, and accountability.
We cover how leading organisations design governance for AI agents including
• Treating AI agents as first-class identities
• Least-privilege access and permission scoping
• Progressive autonomy instead of blind trust
• Policy engines and hard guardrails
• Human approvals for high-risk actions
• Error handling, fail-safe design, and escalation
• Logging, auditability, and full visibility
This episode is for technology leaders, architects, and executives who understand that AI does not fail because models are weak, but because systems are not governed.
Without governance, AI remains a pilot.
With governance, AI becomes enterprise infrastructure.
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