Osvi AI — agentic threat model
Osvi AI presents a moderate-to-high risk profile due to its integration with critical business systems (CRM, WhatsApp, telephony) and its ability to initiate outbound actions. While its graph-based 'Agent Flows' restrict open-ended execution, voice-based prompt injection and unauthorized API actions remain key concerns.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.40 | |
| 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 foundation models used for speech-to-text, LLM reasoning, and text-to-speech are not disclosed. Threats include voice-based prompt injection (adversarial audio), model reprogramming, and mis-aligned outputs during live calls.
Not certain from the listing — The agent interacts with CRMs and calendars, implying access to sensitive customer and healthcare data, but the underlying data storage, vector databases, or RAG mechanisms are not described. Threats include data exfiltration and unauthorized access to customer records.
Osvi AI utilizes a modular 'Agent Flows' approach to structure conversations as graph-based flows. While this reduces latency and improves maintainability, threats include logic bypasses within the graph, insecure tool integration with CRMs/calendars, and unauthorized execution of call transfers or scheduling actions.
Not certain from the listing — Details regarding hosting infrastructure, telephony/SIP security, secrets management for CRM/WhatsApp APIs, and sandboxing are omitted. Threats include SIP trunk hijacking, credential theft, and unauthorized API access.
Osvi AI provides dashboards for analytics and ROI tracking, alongside context-preserving transfers to human agents. However, the listing does not detail real-time guardrails against prompt injection, audio anomaly detection, or automated session-drift monitoring.
Not certain from the listing — Despite targeting healthcare and business automation, the listing does not explicitly mention compliance certifications (e.g., HIPAA, SOC2) or specific identity and access management (IAM) controls for managing agent permissions.
The agent operates within a multi-channel ecosystem, integrating with telephony networks, WhatsApp, and CRMs. Threats include cascading failures if external APIs fail, and trust abuse where the agent is used as a vector to send spam or phishing messages via WhatsApp.
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.