Microsoft 365 Agents SDK — agentic threat model
The Microsoft 365 Agents SDK presents a high-impact risk profile due to its capability to build agents with deep integration into sensitive enterprise data and communication channels, though the actual risk is highly dependent on developer implementation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.60 | |
| Multi-Agent Interactions | 0.50 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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.
Not certain from the listing — The SDK supports generative AI but does not specify a locked-in foundation model. Threats depend on the developer's chosen LLM, including prompt injection, model misalignment, or training data leakage.
Not certain from the listing — While designed for Microsoft 365 (implying Graph API, SharePoint, or OneDrive access), the specific vector stores, RAG pipelines, and data ingestion methods depend entirely on developer implementation.
As an orchestration SDK, it defines how agents plan, manage memory, and call tools. Vulnerabilities in the SDK's parsing of LLM outputs could lead to tool misuse, insecure tool execution, or state manipulation.
Not certain from the listing — Hosting, sandboxing, and infrastructure security depend on where the developer deploys the resulting agent (e.g., Azure App Services, local containers, or Teams hosting environments).
Not certain from the listing — The SDK's built-in logging, evaluation, and guardrail capabilities are not detailed, leaving potential blind spots in monitoring agent behavior and detecting anomalous actions.
Not certain from the listing — While likely designed to inherit Microsoft 365 enterprise-grade compliance, identity, and access management (such as Microsoft Entra ID), the enforcement of these controls relies on developer configuration.
Not certain from the listing — The SDK enables multi-channel agents, but the extent of multi-agent coordination, trust boundaries between agents, and exposure to compromised third-party agents depends on the final deployment architecture.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.