Noet — agentic threat model
Noet presents a moderate risk profile as an automated customer support agent handling real-time voice and chat; its primary exposures lie in prompt injection, brand reputation damage, and potential exposure of customer PII through its conversational interface.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| 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 commercial or open-source LLMs for generating voice and chat responses. Vulnerable to prompt injection, jailbreaking, and generating misaligned or toxic outputs that could damage brand reputation.
Not certain from the listing — likely utilizes customer interaction history, FAQs, or RAG databases to personalize support. Vulnerable to data poisoning of the knowledge base or exfiltration of sensitive customer PII.
Not certain from the listing — orchestrates voice and chat channels, likely using a custom or open-source framework. Vulnerable to insecure tool integration (e.g., CRM APIs) and prompt injection bypassing intent analysis.
Not certain from the listing — deployed as a cloud service or self-hosted (open source). Vulnerable to standard web/cloud hosting risks, API exposure, and lack of sandboxing for execution environments.
Not certain from the listing — features "Smart Analytics" and "real-time sentiment & intent analysis" which could act as a form of observability, but dedicated security guardrails or drift detection are not detailed.
Not certain from the listing — no explicit mention of compliance standards (GDPR, SOC2) or access control mechanisms, which are critical given it handles customer voice/chat data.
Not certain from the listing — operates primarily as a vertical customer support agent; no explicit multi-agent or marketplace interactions are described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).