SARA — agentic threat model
SARA (Modern Voice) presents a moderate-to-high security risk primarily due to its integration with sensitive business systems like CRMs (HubSpot) and communication APIs (Twilio, SMS). While its core function is training, its active integrations could be abused for data exfiltration or unauthorized communications if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.80 | |
| 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 — likely utilizes proprietary or third-party LLMs and text-to-speech/speech-to-text models. Key threats include prompt injection during roleplay that could force the AI to break character, leak system instructions, or generate inappropriate content.
Not certain from the listing — processes voice recordings, transcripts, and CRM data. Main risks involve the exposure of PII contained in sales call transcripts and the potential for data leakage if roleplay data is used for model fine-tuning without sanitization.
Not certain from the listing — orchestrates persona selection, voice synthesis, and tool execution. The primary threat is insecure tool integration, where prompt injection could trigger unauthorized CRM updates or SMS dispatches via Twilio.
Not certain from the listing — likely hosted on cloud infrastructure to support real-time voice processing and external integrations. Risks include insecure storage of third-party API keys (HubSpot, Twilio) and lack of isolation between tenant environments.
Not certain from the listing — features 'Call Scoring & Feedback' which indicates an evaluation mechanism. Risks include users gaming the scoring system and a lack of real-time guardrails to detect and block toxic or abusive outputs generated by the AI personas.
Not certain from the listing — handles voice data and CRM records, necessitating compliance with GDPR, CCPA, and potentially TCPA (for automated SMS/dialing). No security certifications or access control mechanisms are detailed in the listing.
Not certain from the listing — operates primarily as a single agent interacting with external APIs rather than a multi-agent ecosystem. Risks are concentrated in the trust boundaries between the agent and integrated platforms like HubSpot and Twilio.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).