Agents are becoming users
Agents use credentials, call APIs and take actions across systems. Unlike people, they work continuously and can chain several systems in one workflow, which widens the impact of a single over-permissioned agent.
The core AI agent security risks
- Excessive permissions granted for convenience
- Sensitive access to finance, HR, legal or customer data
- Dangerous combinations, such as reading sensitive data and sending external messages
- Unowned or forgotten agents that keep their access
- Behavior that changes without anyone noticing
Access and permissions
Start by mapping what each agent can read, modify, send, delete or administer. Least privilege applies to agents just as it does to people.
Activity monitoring
Permissions describe potential. Monitoring shows actual use: what data agents touched, which actions they took and whether that matches their purpose.
How AgentGuard helps
AgentGuard audits access, detects dangerous permissions, supports investigation of agent activity and produces evidence. Google Workspace is available now, with GitHub, Microsoft 365 and Slack coming next.
Frequently asked questions
What is AI agent security?
The practice of controlling and monitoring the access, permissions and activity of autonomous AI agents across company systems.
What is the biggest AI agent security risk?
In most environments it is visibility: agents holding broad access that nobody has reviewed. Excessive permissions and unowned agents follow from that.
How is agent security different from user security?
Agents act faster, run continuously and chain systems together, and their actions can be indistinguishable from the person who authorized them.
Does AgentGuard block agents?
AgentGuard focuses on visibility, risk detection and evidence so your team can decide what to change.