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What is a key difference between AI agents and AI experiences that primarily generate responses?
AI agents only work within a single application.
AI agents can perform actions and complete tasks on behalf of users or organizations.
AI agents can't interact with data sources.
AI agents require manual input before every action.
Why do AI agents introduce additional security risks compared to AI experiences that primarily generate responses?
AI agents can directly interact with systems, data, and business processes.
AI agents can only operate while connected to the internet.
AI agents replace existing security controls.
AI agents don't require user-defined goals.
What is the primary purpose of assigning a defined identity to an AI agent?
To give the AI agent broader access across organizational systems.
To improve response quality.
To determine what resources the agent can access and what actions it is authorized to perform.
To prevent the agent from interacting with applications.
How does containment help reduce risk while an AI agent is running?
By preventing AI agents from completing tasks.
By limiting the data, tools, services, and actions available while the agent is running.
By removing the need for governance policies.
By automatically granting permissions to approved resources.
Which Windows technology helps support runtime containment by providing isolated execution environments for AI agent workloads?
Microsoft Defender
Microsoft Entra ID
Microsoft Execution Containers (MXC)
Microsoft Teams
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