How to set your AI agents up for success

An AI agent, like any member of your team, needs clear instructions and the right tools to carry them out. But unlike a human, you can’t pull an agent aside for a quiet word about data handling. You can’t run security awareness training.

And critically, treating AI agents like standard user accounts, with conventional permissions, access policies, and identity management, creates compounding security and compliance risks that will be very difficult to unpick later.

Cast your mind back to the early days of Microsoft Teams adoption. Channels multiplying unchecked. Guest access handed out without a second thought. Many organisations are still untangling that sprawl today. Or think about SharePoint Online: overly permissive sites and folders that grew organically over years, now requiring significant effort to remediate.

Both of these are cautionary tales about what happens when adoption outpaces governance. AI agents are next in line, and the stakes are higher.

This is where Microsoft Agent 365 comes in, launching as part of the new Microsoft E7 Frontier suite.

Microsoft E7 combines the full breadth of the E5 security and compliance stack with a new centralised governance and visibility layer, designed specifically for AI agent adoption at scale. At its core, Microsoft Agent 365 gives IT and security teams the ability to answer questions that right now often go unanswered:

• Where are your AI agents published?
• How do you manage the agent lifecycle, from deployment through to retirement?
• Who is authorised to interact with which agents, and under what conditions?

These are the foundational controls that determine whether your AI deployment is secure, compliant, and auditable.

Microsoft 365 Copilot continues to see rapid adoption across organisations of every size. Its inclusion in the E7 suite means it integrates directly with Microsoft Agent 365, extending that control plane to cover personal productivity agents, team-level agents, and organisation-wide deployments, all under a single governance layer.

Securing AI agents is a different discipline from securing human identities, but there is common ground, and Microsoft’s E7 suite is built to exploit it.

The Microsoft Entra suite, now included in E7, provides the toolset to govern AI agents across both identity and network layers. And through Global Secure Access (GSA), organisations can apply identity-centric controls to AI agent traffic in much the same way they already manage human users.

Practically, this means you can deploy Secure Web and AI Gateway to help prevent data loss, block malicious prompt injection attempts, and shut down unauthorised AI usage, before it becomes a problem rather than after.