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Ebook

4 Steps to Govern Agent Actions Against Third-Party Apps

Learn four steps to govern AI agent access and activity across third-party apps, with ownership, privilege thresholds, runtime enforcement, and reporting.

Set ownership, privilege thresholds, runtime controls, and reporting for the app layer where agents read, write, export, and connect.

Agent platforms show workloads, models, and configurations. They do not show whether an agent’s actions inside Salesforce, Workday, Snowflake, or Slack create risk. That is where agents read records, change data, and create new app-to-app connections.

This guide gives security leaders a four-step governance model for that layer: assign an accountable owner, define which app privileges require review, block actions that carry irreversible risk, and report what agents did.

It also provides a 90-day rollout plan for moving from ownership and access reviews to runtime enforcement and quarterly reporting.

  • Assign an accountable owner for every app an agent reaches and reassign or decommission agents when that owner leaves.
  • Set review thresholds for agents with unnecessary write access to systems of record or access to regulated data.
  • Enforce policies against destructive changes, confidential-data exposure, privilege escalation, shared credentials, and unsanctioned MCP servers or tools.