What it is
Agent Governance is the policies, controls, and monitoring systems that ensure AI agents operate safely, compliantly, and within business-approved boundaries. Governance is embedded into every agent deployment. This includes audit logs, approval workflows for high-impact decisions, rate limiting, and escalation triggers. Agent governance is treated 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.
Key components
- Permission and access controls
- Approval workflows for high-impact actions
- Audit logs and decision trails
- Rate limiting and escalation triggers
- Einstein Trust Layer safeguards
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.