Regal AI Phone Agent — agentic threat model
The Regal AI Phone Agent presents a moderate-to-high risk profile due to its direct integration with CRMs and telephony systems, exposing sensitive customer data to potential voice-based prompt injection and social engineering attacks.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.30 | |
| 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 — The specific LLM, STT, and TTS foundation models are not disclosed. Threats include voice-based adversarial prompt injection (over-the-air) and model reprogramming to bypass brand guidelines.
Integrates directly with CRM and Regal contact profiles. Threats include unauthorized exfiltration of customer PII via voice-induced queries, and transcription data poisoning if malicious inputs are saved back to the CRM.
Orchestrates call flows, CRM updates, and call transfers. Vulnerabilities include insecure tool integration where a caller manipulates the agent into executing unauthorized CRM writes or triggering unintended call transfers.
Not certain from the listing — Telephony gateway, SIP trunking, and hosting infrastructure are not detailed. Potential threats include SIP flooding, unauthorized API access to the voice gateway, and container compromise.
Features real-time transcription and sentiment analysis, which can aid in monitoring. However, there is a risk of blind spots in detecting real-time prompt injection attacks occurring mid-conversation before they affect the CRM.
Explicitly claims TCPA compliance for outbound calling. However, details regarding OAuth, role-based access control (RBAC) for CRM integrations, and encryption of voice data at rest are not specified.
Supports seamless transfers to human agents. A key threat is social engineering during handoff, where the AI is manipulated into passing malicious context or spoofed caller identities to the human agent.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).