Proactor AI — agentic threat model
Proactor AI presents a high-risk profile due to its proactive nature and access to sensitive real-time meeting audio and historical transcripts, making it a prime target for indirect prompt injection and data exfiltration.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.80 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.70 |
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 underlying foundation models are unspecified. The primary threat is indirect prompt injection via spoken words during live meetings, which could manipulate the model's summarization or task generation.
The agent transcribes meetings and maintains cross-session context memory. This creates a high-value target for data exfiltration of sensitive corporate discussions and potential knowledge-base poisoning if malicious instructions are spoken and stored.
The agent orchestrates task automation and proactive suggestions based on meeting context. Insecure tool integration with task managers or calendar systems could allow unauthorized actions to be executed automatically.
Not certain from the listing — The infrastructure hosting the meeting bots (joining Zoom/Meet) is not detailed. Threats include container compromise of the bot runner and unauthorized interception of audio/video streams.
Not certain from the listing — No details are provided regarding real-time guardrails or observability. The lack of monitoring for adversarial audio inputs represents a significant blind spot.
Not certain from the listing — Compliance certifications (e.g., SOC2, ISO 27001) and access control mechanisms for stored transcripts are not mentioned, posing compliance risks for handling sensitive meeting data.
Not certain from the listing — While the agent integrates with external platforms like Zoom and Meet, there is no mention of multi-agent collaboration or marketplace interactions.
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.