Today, we’re announcing that Aembit supports the deployment of Microsoft Copilot Studio agents – giving security teams a purpose-built way to govern how Copilot Studio agents authenticate to enterprise resources, enforce least-privilege access policies, and maintain a complete audit trail of every access event.
If your organization is deploying Copilot Studio agents – and a lot of organizations are – this is the piece of the security stack that’s been missing.
Join us at Identiverse booth 220 to see our new integration in action.
Why doesn’t my existing IAM stack cover Copilot Studio agents?
Copilot Studio agents are productive out of the box. They can be connected to internal data sources, external APIs, and enterprise systems through MCP servers in a matter of clicks. That’s the point – Microsoft built Copilot Studio to lower the barrier to agent deployment for enterprise teams.
The security cost of that ease is that agents proliferate faster than the access model keeping up with them.
When a Copilot Studio agent needs to reach an enterprise resource, it needs a credential to do it. The default approach – using OAuth to let the user give the agent access – works well enough to get the agent running. It doesn’t work well enough to satisfy a compliance audit, defend against a credential exposure, or give a security team meaningful visibility into what the agent has been accessing and why.
The core issue is that Copilot Studio agents aren’t deterministic workloads: they don’t follow a fixed access path and they make runtime decisions about which tools to call and which resources to reach. A static credential scoped for one expected behavior is now being held by an entity whose behavior can’t be predicted. There’s a fundamental mismatch between how existing IAM tooling works and how AI agents behave that persists across agent platforms. Aembit was built to close that gap.
How does Aembit secure Copilot Studio agent access?
Aembit sits between your Copilot Studio agents and the enterprise resources they need to access. When an agent needs a credential at runtime, Aembit evaluates the request against your access policies – checking the agent’s identity, the resource being requested, and the conditions of the request – and issues a short-lived, scoped credential if the request is authorized. When the task is done, the credential expires with no persistent access.
The result is an access model that scales for enterprise agent deployment and gives your security team actual control over what those agents can reach.
In practice, this means:
- No standing access. Copilot Studio agents never hold persistent credentials. Every credential is issued for a specific task and expires automatically when that task is complete.
- Least-privilege enforcement. Access is scoped to exactly what the agent needs for the specific interaction, not what it might conceivably need across all possible interactions.
- A real audit trail. Every credential issuance, every access event, every policy decision is logged with enough context to answer compliance questions cleanly.
- Centralized policy management. Access policies for your Copilot Studio agents are defined and enforced in one place, alongside policies for your other agent platforms.
Going to Identiverse? Come see us at Booth 220
We’re announcing this integration at Identiverse 2026, the identity community’s flagship conference because the identity community has spent years building rigorous frameworks for governing human access and workload access. AI agents are the next category that needs the same treatment.
If you’re at the conference, come find us at booth 220. We’ll be running live demos of the Copilot Studio integration and we’re happy to work through the specifics of your deployment. Whether you’re in the early stages of evaluating agent security or you’ve already got Copilot Studio agents running in production without a clear access model, we want to have that conversation.
How do I know if my AI agent deployments are secure?
If you’re not at Identiverse, or you want something concrete to take back to your team, we’ve built an interactive checklist for organizations deploying AI agents: the Agentic AI Deployment Checklist.
It covers the access and identity questions every security team should be answering before agents go live. Copilot Studio is one of the platforms it covers. So are Claude, ChatGPT, Gemini, and custom LLM-based agents. The questions are platform-agnostic because the underlying access problem is the same regardless of which agent is running.
We invite you to work through it with your team. It’s a useful way to identify where your current agent deployments have gaps and what to prioritize.
What other agent platforms does Aembit support?
The Copilot Studio integration is the latest in a series of platform-specific integrations we’re releasing this year. We’ll have more to announce in upcoming launches. If there’s a specific agent platform your organization is deploying and you want to talk through the access model, reach out – or stop by our Identiverse booth (220) this week.
The agents are already in your environment. Aembit is here to help deploy them securely.
Talk to an Engineer · Take the Agentic AI Deployment Checklist · Find us at Identiverse booth 220
FAQs
What is Microsoft Copilot Studio, and how is it different from Microsoft Copilot?
Microsoft Copilot Studio is a platform for building and deploying custom AI agents connected to enterprise tools and data through MCP servers. It’s distinct from Microsoft Copilot – the AI assistant embedded in Microsoft 365 – which doesn’t support external MCP server connections. Aembit’s integration is specific to Copilot Studio agents.
Why can’t I just use a service account or API key to authenticate my Copilot Studio agents?
You can, and most teams start there. The problem is that Copilot Studio agents don’t follow fixed access paths – they resolve tool calls at runtime based on the request they receive, so the access pattern isn’t predictable enough to scope a static credential tightly. That means either the credential is scoped too broadly (accepting more risk than necessary) or too narrowly (causing task failures). Static credentials also don’t expire automatically, have no attribution in audit logs when multiple agents share infrastructure, and create standing access risk that grows as more agents are deployed.
Does Aembit work with other AI agent platforms, or just Copilot Studio?
Aembit governs access for any agent that makes API calls – including Claude, Copilot Studio and custom LLM-based workflows. While Copilot Studio is the integration we’re announcing today, additional platform-specific integrations are in development and will be announced in upcoming releases.
What is blended identity, and why does it matter for Copilot Studio agents?
Blended identity is Aembit’s term for the access model that AI agents actually require: a verified identity that’s distinct from the user’s but tied to the user’s session, combined with short-lived credentials issued at runtime and scoped to the specific task the agent is performing. For Copilot Studio specifically, this means every agent action is attributable: you can see which agent made a request, which user session triggered it, what it accessed, and what policy authorized it.
