ScribeMedical AI — agentic threat model
ScribeMedical AI presents a high-consequence risk profile due to its handling of sensitive Protected Health Information (PHI) and integration with Electronic Health Records (EHR). While its agentic autonomy is limited to documentation generation, a compromise could lead to severe data breaches or clinical integrity issues.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.40 | |
| 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 utilizes a proprietary or fine-tuned speech-to-text and LLM for clinical summarization. Threats include adversarial voice inputs (audio injection) or prompt injection to alter clinical summaries.
Not certain from the listing — processes highly sensitive PHI. Threats include data exfiltration of patient conversations, lack of secure vector stores if RAG is used for medical history, and potential training data leakage if user inputs are used for model improvement.
Not certain from the listing — orchestrates transcription to structured SOAP notes. Threats include insecure tool integration with EHR APIs, allowing unauthorized data modification or injection of malicious payloads into EHR fields.
Not certain from the listing — claims HIPAA compliance, implying secure hosting (e.g., AWS/Azure with BAA). Threats include container compromise, insecure API endpoints, and lack of strict network isolation for PHI processing.
Not certain from the listing — claims 99.8% accuracy but details on continuous drift monitoring, clinical validation, or guardrails against hallucinated medical facts are omitted.
The agent claims HIPAA-compliant data security and EHR-ready formatting. However, as a closed-source, freemium tool, compliance verification, access controls, and audit logging must be rigorously validated to prevent unauthorized PHI exposure.
Not certain from the listing — operates primarily as a horizontal single-agent tool. Risks are low here unless it interacts with other clinical agents or EHR-integrated marketplace apps without mutual authentication.
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.