Teams Reminder Flow Agent — agentic threat model
The Teams Reminder Flow Agent presents a moderate risk profile, primarily driven by its integration with sensitive Microsoft 365 data sources (SharePoint/Lists) and its ability to broadcast AI-generated content directly to Teams users, making it a potential vector for indirect prompt injection and internal phishing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.30 |
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.
Uses OpenAI text-davinci-003 (a legacy model) to generate reminders. Primary threats include prompt injection leading to inappropriate or malicious reminder generation, and risks associated with model deprecation and unaligned outputs.
Reads real-time task data from Microsoft Lists (SharePoint). Threats include data exfiltration of sensitive list items, and data poisoning where malicious list content is used to manipulate the LLM's output (indirect prompt injection).
Orchestrated via Power Automate. Threats include insecure flow configurations, unauthorized modification of the flow logic, and a lack of input validation before passing list data to the LLM.
Not certain from the listing — Likely hosted within the Microsoft 365 / Power Platform tenant and connecting to OpenAI's API. Threats include credential theft of M365 connection tokens or OpenAI API keys, and lack of network isolation between the flow and external APIs.
Not certain from the listing — No explicit mention of LLM guardrails, output filtering, or logging of generated reminders. Threats include undetected drift, generation of toxic/harmful content, and lack of audit trails for AI-generated messages.
Not certain from the listing — Relies on M365/SharePoint permissions and Power Automate DLP policies. Threats include over-privileged service accounts accessing sensitive lists and lack of compliance alignment for data sent to external OpenAI endpoints.
Operates within the Microsoft 365 ecosystem (Teams, Lists, Power Automate). Threats include horizontal escalation if a compromised flow is used to spam or phish users across the organization's Teams channels.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).