Newo.ai — agentic threat model
Newo.ai acts as a public-facing voice receptionist, presenting moderate risk primarily around social engineering, unauthorized call routing, and exposure of caller PII, exacerbated by a lack of visible security controls in its brief listing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.20 | |
| 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 foundation models (LLMs, TTS, STT) are unspecified, leaving the system vulnerable to standard adversarial voice/text prompt injection and model reprogramming threats.
Not certain from the listing — The data operations layer likely handles caller PII and business FAQs, but details on vector stores, RAG security, and data exfiltration protections are absent.
Not certain from the listing — The orchestration framework managing voice call routing, booking, or CRM integration is not detailed, risking tool misuse or insecure API integrations.
Not certain from the listing — Deployment infrastructure is unspecified, though likely hosted SaaS, raising potential concerns regarding container isolation and secure handling of telephony/API credentials.
Not certain from the listing — No details are provided regarding real-time voice guardrails, call logging, or drift detection to prevent the agent from hallucinating or being socially engineered.
Not certain from the listing — Compliance controls, identity management, and access policies for managing the receptionist agent's configuration are not mentioned.
Not certain from the listing — The agent primarily interacts with human callers, but potential multi-agent handoffs or downstream system integrations are not defined.
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.