Aurionx — agentic threat model
Aurionx poses moderate-to-high risk as an autonomous voice agent capable of real-time customer interaction and tool execution (booking/CRM). Its primary vulnerabilities lie in RAG knowledge-base poisoning and prompt injection via voice, which could lead to unauthorized actions or data leakage.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.70 | |
| 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 specific LLM or voice synthesis model used is not disclosed. Threats include adversarial voice inputs (prompt injection via audio), model hijacking, or misaligned outputs during live calls.
Uses a 'KNOWLEDGE BASE' with RAG-powered retrieval. Threats include knowledge-base poisoning (uploading malicious documents to hijack the agent's behavior or leak sensitive data), data exfiltration via RAG, and lack of access controls on retrieved data.
Orchestrates voice calls, qualifies leads, and books appointments. Uses 'NODE EVALUATORS' for conversation logic. Threats include insecure tool integration (calendar/CRM APIs), logic bypass in node evaluators, and prompt injection leading to unauthorized appointment booking or lead manipulation.
Not certain from the listing — hosting, sandboxing, and secrets management for API integrations are not detailed. Threats include exposure of API keys used for CRM/calendar integrations and infrastructure compromise during real-time voice processing.
Features 'NODE EVALUATORS' to test conversation logic at every level. Threats include evaluation gaming, blind spots in real-time voice monitoring, and insufficient logging of malicious voice inputs or prompt injections.
Not certain from the listing — no explicit mention of compliance standards (like SOC2, HIPAA for voice calls, GDPR) or authentication mechanisms. Threats include unauthorized access to the API/dashboard and lack of audit trails for call recordings.
Not certain from the listing — no explicit multi-agent coordination or marketplace interactions mentioned, though it integrates with external APIs (CRM, calendars). Threats include cascading failures if external APIs are compromised.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).