vanderbiltassessment — agentic threat model
The agent poses low operational autonomy risk but presents high data privacy risks due to processing sensitive child health data (ADHD screening) without explicit security or compliance (HIPAA/COPPA) guarantees in the public listing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.20 |
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 uses a standard LLM to draft the personalized reports. Threats include prompt injection altering clinical assessments or generating biased/harmful medical advice.
Not certain from the listing — processes sensitive child ADHD screening answers. Threats include exposure of sensitive health data (PHI/PII) if inputs are logged or used for model training without consent.
Not certain from the listing — likely a simple wrapper orchestrating the assessment input to LLM prompt. Threats include insecure prompt construction leading to system prompt leakage.
Not certain from the listing — hosted as an online web tool. Threats include insecure transit of sensitive assessment data and lack of robust access controls.
Not certain from the listing — no mention of clinical validation guardrails or monitoring. Threats include drift in diagnostic report accuracy and lack of audit logs for clinical decisions.
Not certain from the listing — handling children's health data requires strict COPPA and HIPAA alignment, which are not detailed in the public description.
Not certain from the listing — appears to be a standalone horizontal tool with no multi-agent or marketplace integrations.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).