Sandra AI — agentic threat model
Sandra AI presents moderate agentic risk primarily driven by its public-facing voice interface and integration with dealership CRMs. Key threats include voice prompt injection, unauthorized scheduling, and the exposure of customer PII during automated phone interactions.
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 | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.40 | |
| 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 — likely relies on proprietary or third-party speech-to-text, LLM, and text-to-speech models. Vulnerable to voice prompt injection, model hijacking, and adversarial audio inputs.
Not certain from the listing — likely integrates with dealership CRMs or inventory databases to retrieve vehicle and customer details. Risks include unauthorized access to customer PII and call log exfiltration.
Not certain from the listing — uses a voice orchestration framework to manage call state and tool execution (e.g., booking appointments). Risks include tool misuse if CRM/scheduling APIs lack strict input validation.
Not certain from the listing — requires telephony infrastructure (VoIP/SIP) and cloud hosting. Vulnerabilities include SIP toll fraud, call interception, and infrastructure denial-of-service.
Not certain from the listing — requires robust transcription logging and audio recording. Risks include logging sensitive PII spoken during calls without adequate masking or redaction.
Not certain from the listing — must comply with TCPA (for automated calling) and potentially PCI-DSS if handling payments. Lack of explicit compliance certifications increases regulatory risk.
Not certain from the listing — mentions 'AI receptionists and sales agents' suggesting a multi-agent setup. Risks include cascading failures or unauthorized handoffs between different specialized voice agents.
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.