Microsoft Copilot Studio — agentic threat model
Microsoft Copilot Studio presents a high-impact risk profile due to its deep integration with enterprise data via Microsoft 365 Graph and autonomous plugin execution capabilities, though this is heavily mitigated by Microsoft's robust enterprise-grade security controls and compliance frameworks.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.90 | |
| Dynamic Identity | 0.70 | |
| Multi-Agent Interactions | 0.80 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Utilizes Microsoft's state-of-the-art foundation models (Azure OpenAI / GPT-4). Primary threats include prompt injection, model reprogramming, and indirect prompt injection via untrusted data sources integrated into the copilot.
Connects directly to diverse enterprise data sources and Microsoft 365 Graph. Risks include data exfiltration via RAG, unauthorized access to sensitive SharePoint/OneDrive files, and knowledge-base poisoning from untrusted external connectors.
Provides a low-code environment for building autonomous agents and custom GPTs. Threat vectors include insecure tool/plugin integration, logic bypasses in the graphical orchestration flows, and unauthorized tool execution.
Hosted on Microsoft's secure Azure cloud infrastructure. While direct container/host compromise is highly mitigated by Azure's isolation, risks remain around tenant-to-tenant isolation and misconfigured API endpoints.
Includes built-in analytics and user controls. However, complex autonomous agent behaviors and multi-step plugin executions can create logging blind spots, making it difficult to audit malicious prompt injection payloads in real-time.
Benefits from Microsoft's enterprise compliance suite (Purview, DLP, IAM, and OAuth). The primary threat is misconfiguration of these access controls, allowing agents to act with elevated user privileges.
Integrates with Microsoft 365 Copilot and supports custom generative AI plugins. This creates a multi-agent ecosystem where a compromised custom plugin or external agent can abuse trust boundaries to access the broader M365 tenant.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).