voiceaiwrapper — agentic threat model
voiceaiwrapper presents a high agentic risk due to its ability to autonomously initiate and manage outbound/inbound voice campaigns, making it a prime target for automated vishing, toll fraud, and data exfiltration if its API integrations or orchestrator are compromised.
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 | 0.40 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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 agent relies on vapi.ai APIs, which wrap underlying LLMs and TTS/STT models. It is vulnerable to downstream model alignment failures, prompt injection via voice, and adversarial audio inputs.
Not certain from the listing — Handles customer contact lists and call transcripts. Gaps in data lineage or lack of encryption for stored voice recordings and transcripts could lead to data exfiltration or privacy violations.
Not certain from the listing — Orchestrates voice campaigns using built-in workflows. Vulnerabilities in the closed-source orchestration code could allow attackers to hijack call flows or manipulate tool execution parameters.
Not certain from the listing — Hosted as a SaaS wrapper. Requires secure storage of sensitive API keys (vapi.ai, CRMs). Insecure secrets management or lack of network isolation could expose integration endpoints.
Confident — Provides 'advanced analytics' for campaigns, but there is no mention of real-time LLM guardrails, voice anomaly detection, or prompt injection monitoring to prevent conversational drift or abuse.
Not certain from the listing — White-labeling for agencies implies multi-tenancy, but the listing does not detail tenant isolation mechanisms, role-based access control (RBAC), or compliance with telephony regulations (e.g., TCPA).
Confident — Integrates directly with vapi.ai and external APIs/CRMs. A compromise of the wrapper could propagate downstream, allowing malicious actors to launch unauthorized voice campaigns or abuse connected CRM systems.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).