Give every Copilot Studio agent a verified blended identity, enforce exactly what it can access, and produce an audit trail that holds up to compliance review without slowing deployment.
Microsoft Copilot Studio makes it fast to build and deploy AI agents connected to enterprise tools and data through MCP servers. That speed is the goal, but it’s also where the security gap opens.
When a Copilot Studio agent connects to an enterprise resource, it needs credentials. The default approach – static API keys stored in agent or MCP server configurations, broad service account permissions granted at provisioning time, or using OAuth to let the user give the agent access – gets the agent running. It doesn’t produce an access model that holds up to security review, compliance audit, or the scrutiny that follows an incident.
Security teams need to close three gaps to deploy Copilot Studio agents with confidence:
Aembit provides a central control plane that gives each Copilot Studio agent a blended identity – tied to but distinct from the user’s human identity – and enforces least-privilege access policy at the MCP server level in real time, with a complete, attributable audit record of every action the agent takes.
Security teams can approve Copilot Studio deployments with the same identity, access, and audit controls they apply to the rest of their environment.
Aembit’s blended identity model is already running in high-stakes enterprise environments. A $300B investment firm deployed AI agents across its analyst and executive workforce – connecting agents to Microsoft 365, Factset, and Kensho – with Aembit securing every connection from day one. Their security team went from blocking the rollout to owning it.
The same access model that secured Claude agents at that firm governs Copilot Studio agents through Aembit today.
Replace static API keys and connector tokens with ephemeral, single-use credentials. Nothing persists in agent or MCP server configurations.
Give each Copilot Studio agent its own identity – distinct from the user's – within the same access and audit framework applied to your human workforce.
Replace insecure token passthrough between Copilot Studio and downstream services with a governed, policy-enforced brokering layer.
Real-time allow/deny decisions at the traffic boundary, before any tool is invoked or data is reached. Defined once, enforced for every agent.
A single control plane governing all Copilot Studio agent access policies across the environment — alongside policies for Claude, Gemini, ChatGPT, and custom agents.
Complete, human-agent-attributed logs for every access event. Answer any compliance question — which agent, which resource, which policy, when — without digging through server logs.
Empower your teams with Aembit’s IAM for Agentic AI – streamlined identity verification, simplified access controls, and consistent security across every Copilot Studio deployment.
Turn on secure, governed access for every Claude agent without slowing down your rollout. Give your security team full visibility, enforce least-privilege by default, and ensure every action is attributable, auditable, and compliant from day one.
