Nucleus — agentic threat model
Nucleus acts as an autonomous voice receptionist, exposing businesses to voice-based prompt injection (VUI) and social engineering risks. Its public-facing telephony interface increases the attack surface for spam, data exfiltration of caller PII, and unauthorized call routing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
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 LLM or speech-to-text/text-to-speech models are not specified. However, voice-based prompt injection (VUI injection) is a primary threat, where callers manipulate the model into giving unauthorized information or misrepresenting the business.
Not certain from the listing — The agent must access business-specific data (FAQs, hours, contact lists) to function. Threats include data poisoning of this knowledge base or exfiltration of sensitive caller information and message history.
Not certain from the listing — The orchestration framework for handling call state and routing is undisclosed. Vulnerabilities could allow callers to bypass the intended conversational flow or trigger unauthorized actions like call forwarding to premium numbers.
Not certain from the listing — Telephony infrastructure (VoIP/SIP integration) is critical here. Threats include SIP trunk hijacking, eavesdropping on call audio, and denial-of-service (DoS) attacks targeting the business phone number.
Not certain from the listing — No details are provided regarding call logging, transcription auditing, or real-time guardrails against inappropriate or toxic AI-generated voice responses.
Not certain from the listing — Handling voice calls involves collecting PII (caller names, phone numbers, voice recordings). Compliance with regulations like TCPA, GDPR, or HIPAA (if used in healthcare) is critical but unverified.
Not certain from the listing — While primarily a standalone receptionist, any integration with external scheduling tools, CRMs, or messaging platforms introduces risks of cascading failures or unauthorized data insertion.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).