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Agent Governance

The policies, controls, and monitoring systems that ensure AI agents operate safely, compliantly, and within business-approved boundaries.

What it is

We embed governance into every agent deployment. This includes audit logs, approval workflows for high-impact decisions, rate limiting, and escalation triggers. We treat agent governance as a requirement, not a feature.

Why it matters

Autonomous agents are powerful but risky. Governance answers critical questions: What data can agents access? Who can they communicate with? How do we audit their decisions? What happens when they make mistakes? Without governance, you have liability. With it, you have confidence.

How it connects

In Agentforce, governance is built around Salesforce's native permission model, Data Cloud access controls, and Einstein Trust Layer — meaning your agents can only see and act on what your org has explicitly authorized.

Good to know

Governance isn't a one-time setup — as you expand agent capabilities or add new topics, your controls need to be reviewed and updated to match. Plan for it as an ongoing process, not a launch checklist item.

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