Pharmie AI — agentic threat model
Pharmie AI operates in a high-stakes healthcare environment handling sensitive patient data and pharmacy workflows, presenting severe risks of clinical errors, HIPAA violations, or unauthorized prescription modifications if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| 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 medical-domain or general-purpose LLMs. Threats include clinical misinformation, adversarial prompt injection altering dosage/drug recommendations, and model hallucination.
Not certain from the listing — likely processes sensitive PHI, prescription histories, and drug databases. Threats include unauthorized PHI exfiltration, HIPAA violations, and poisoning of drug interaction databases.
Not certain from the listing — orchestration likely manages workflows between patient queries and pharmacy databases. Threats include insecure tool execution leading to unauthorized database modifications or prescription alterations.
Not certain from the listing — hosting must comply with healthcare standards (e.g., HIPAA-compliant cloud). Threats include insecure API endpoints exposing patient data or lack of network isolation between tenant databases.
Not certain from the listing — requires rigorous clinical safety guardrails and drift monitoring. Threats include silent failures in drug interaction logic or lack of audit logs for clinical decisions.
Not certain from the listing — must adhere to strict healthcare regulations (HIPAA, HITECH). Threats include lack of robust RBAC for pharmacists vs. patients and insufficient audit trails for compliance.
Not certain from the listing — may interact with external insurer agents or e-prescribing networks. Threats include cascading trust failures if an external insurance verification agent is compromised.
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.