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Introduction:
Agentic AI has evolved from simple chatbots into autonomous entities capable of executing system commands and accessing sensitive corporate data. As their autonomy expands, so does the attack surface, with threats like prompt injection, agent sprawl, and overly permissive access becoming critical vulnerabilities. To counter this, Microsoft is centralizing AI security enforcement under its new Microsoft Agent 365 platform, requiring all security capabilities for Copilot Studio and Microsoft Foundry agents to transition away from legacy Defender plans by July 1, 2026.
Learning Objectives:
- Understand the July 1, 2026, licensing deadline and its impact on Copilot Studio and Foundry agent security.
- Explore practical, step-by-step configurations for hardening agent identity, access, and runtime behavior.
- Implement real-time threat detection and compliance controls using Microsoft’s unified security stack.
You Should Know:
- ⚠️ July 1st Deadline: The Sunset of Legacy AI Threat Detection
Starting July 1, 2026, Microsoft will officially retire the AI security features previously covered under existing Defender for Cloud Apps or Defender for Cloud licenses. If your tenant lacks a qualifying Microsoft Agent 365 license, you will lose access to critical security functionalities for both Copilot Studio and Foundry agents. This includes agent discovery and posture management, threat detection and real-time protection, and the ability to investigate agent activities in Advanced Hunting.
Step-by-step preparation before the deadline:
- Inventory Your Agents: Identify all Copilot Studio and Foundry agents currently active in your environment.
- License Reconciliation: Ensure your Microsoft Agent 365 licenses are procured and assigned to the appropriate tenants.
- Data Migration Prep: Be aware that the `AIAgentInfo` table in Advanced Hunting will be deprecated, replaced by the `AgentInfo` table (powered by Agent 365 observability logs). Update your hunting queries accordingly.
- Transition Existing Alerts: Before July 1st, migrate any SIEM or SOAR playbooks that rely on deprecated Defender for Cloud Apps alerts to the new Microsoft Agent 365 behavioral alerts.
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🛡️ Zero Trust for AI: Enforcing Least Privilege with Microsoft Entra
AI agents often suffer from “over-permissioning”—accumulating excessive privileges that human users typically lack. To mitigate this, Microsoft Entra extends identity and access controls to non-human identities (NHIs). The goal is to enforce least-privilege access and conditional access policies specifically for agents.
Step-by-step hardening guide:
- Register Agent Identity: Assign a dedicated Entra Agent ID to every autonomous agent operating in your environment.
- Enforce Conditional Access: Extend your conditional access policies to apply to agents based on risk signals and resource sensitivity. Use the following PowerShell snippet to list agents with direct assignment access (Audit readiness):
Connect to Microsoft Graph Connect-MgGraph -Scopes "Policy.Read.All", "Application.Read.All" Retrieve all service principals and filter for those with app roles Get-MgServicePrincipal -All | Where-Object {$_.AppRoles -1e $null} | Format-Table DisplayName, AppId - Block Maker Credentials: In Copilot Studio admin settings, enable the policy to block maker-provided credentials. This ensures agents use the end user’s permissions at runtime, preventing privilege escalation via embedded credentials.
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SASE Monitoring: Use Secure Access Service Edge (SASE) to monitor and block malicious or non-compliant network traffic from agents running on user devices.
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🔍 Runtime Defense in Depth: Intervention Points in Microsoft Foundry
Agentic AI expands capability but also the attack surface. When an agent calls external tools or writes to databases, traditional model-level guardrails fail. Microsoft Foundry allows you to apply controls at four intervention points: User Input, Tool Call, Tool Response, and Output. This prevents indirect prompt injection where malicious data hidden in a PDF (Noroboto-style attacks) manipulates the agent into exfiltrating data.
Step-by-step configuration (Foundry Portal):
- Identify Risk Level: Navigate to your agent in Foundry and open Guided Guardrail Setup.
- Classify Users: Select “Public users” for stricter jailbreak protection or “Internal teams” for lighter controls.
- Configure Data Handling: If the agent processes PII or uses external APIs, enable data protection controls.
- Enable Tool Response Scanning: Toggle the “Indirect attack” control and apply it at the “Tool response” intervention point to block malicious content from entering agent memory.
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Test with AI Red Teaming: Use the AI Red Teaming Agent (based on the PyRIT framework) to automatically simulate adversarial probes against your configured guardrails.
Example PyRIT command to initiate a scan against your Foundry agent endpoint (Requires Azure AI PyRIT toolkit) pyrit orchestrator --endpoint https://your-foundry-agent.azurewebsites.net --attack-strategy "PromptInjection"
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🧬 Deep Visibility: Hunting Threats with Microsoft Purview & Defender XDR
Security teams need centralized visibility to track agent behavior. Microsoft Purview automatically enables auditing, sensitive data detection, and data classification for every Agent 365 instance. Meanwhile, Microsoft Defender XDR replaces legacy alerts with behavior-based detection powered by the `BehaviorInfo` table.
Step-by-step investigation:
- Unified Audit Log: Use the Purview compliance portal to search unified audit logs for agent-specific prompts and responses.
- Advanced Hunting (KQL): Migrate from the deprecated `AIAgentInfo` table to the new `AgentInfo` table for agent inventory. Query malicious actions:
// Hunt for agents accessing sensitive SharePoint sites outside business hours let SensitiveSites = dynamic(["finance-files", "hr-records"]); AgentInfo | where Timestamp > ago(1d) | where SiteUrl has_any (SensitiveSites) | where HourOfDay between (1 .. 6) // Suspicious hours | project AgentName, UserPrincipalName, ActionType, Timestamp
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DSPM for AI: Run the Data Security Posture Management report to identify agents with risky data exposure risks or oversharing permissions.
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🖥️ Windows & Local Agents: Managing the Sprawl with Execution Containers
Local agents (OpenClaw, GitHub Copilot CLI) running on Windows PCs often exist as shadow IT. Microsoft Agent 365 now integrates with Windows Execution Containers (MXC) to apply policy-based controls, bounding what local agents can access or execute.
Step-by-step containment:
- Discover Local Agents: Use the Agent Registry in the Microsoft 365 admin center to surface unmanaged local agents discovered via Defender and Intune.
- Deploy Windows 365 for Agents: Provision isolated Cloud PCs for high-risk agents that require access to production data. This environment is Entra-joined and enforces token-based authentication.
- Apply DLP on Endpoint: In Microsoft Purview, extend your endpoint Data Loss Prevention (DLP) policies to cover agent processes, preventing agents from copying code to unauthorized USB drives or external locations.
What Undercode Say:
- Consolidation is Inevitable: The migration to Agent 365 signifies a shift from ad-hoc AI features to a unified security control plane, much like Kubernetes became the standard for containers.
- Proactive over Reactive: Microsoft is betting on “governance as code.” Embedding security via SDKs during agent design (Shift Left) is now a mandatory requirement to prevent runtime breaches, not just a best practice.
Prediction:
- +1 Agent 365 will evolve into the default runtime for all autonomous agents, integrating deeply with Intune to replace legacy EDR agents for AI-specific workloads.
- -1 Organizations failing to migrate by July 1, 2026, will face a 40-60% increase in AI-driven data leakage incidents due to the sudden removal of guardrails and threat detection.
- +1 The rise of execution containers (MXC) will lead to a new standard for “Immutable Agent Sessions,” drastically reducing the impact of prompt injection by isolating execution to read-only ephemeral environments.
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