MeetingNotes — agentic threat model
MeetingNotes poses a high confidentiality risk due to its access to live corporate audio streams and meeting transcripts across major platforms, though its agentic autonomy and planning capabilities remain low.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 — likely relies on external speech-to-text and LLM APIs for transcription and summarization. Primary threats include indirect prompt injection where spoken meeting content manipulates the generated summaries or action items.
Not certain from the listing — ingests live audio streams, text transcripts, and uploaded recordings. Key risks involve data exfiltration of sensitive corporate conversations and lack of defined data retention or deletion policies for stored transcripts.
Not certain from the listing — orchestrates transcription bots and summarization workflows. Vulnerabilities may exist in how meeting metadata is parsed and how the summarization prompts are structured, potentially allowing injection attacks.
Not certain from the listing — requires hosting infrastructure to deploy virtual bots that join Zoom, Teams, and Meet calls. Threats include unauthorized access to live audio/video streams if the bot container or hosting environment is compromised.
Not certain from the listing — no details on guardrails to prevent hallucinated action items or monitoring tools to detect transcription drift and unauthorized bot behavior during live sessions.
Not certain from the listing — being a closed-source freemium tool, there is no mention of enterprise-grade compliance (e.g., SOC2, GDPR, HIPAA) which is critical given the high exposure to confidential meeting data.
Not certain from the listing — operates primarily as a single-purpose integration rather than a multi-agent system. Risks are limited to the trust boundary between the bot and the host meeting platforms (Zoom, Meet, Teams).
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).