PsycoAI — agentic threat model
PsycoAI presents a high-risk profile due to its integration with sensitive healthcare data (PHI) and direct, automated communication channels like WhatsApp, voice, and email. A compromise could lead to unauthorized medical communication, data exfiltration, or severe compliance violations.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.70 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.70 |
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 powering Nebula are not disclosed. Threats include adversarial prompt injection that could bypass healthcare guardrails or cause the model to output incorrect medical advice.
The platform processes highly sensitive healthcare data and supports 'trainable' agents. Threats include PHI exfiltration, unauthorized data access, and data poisoning of the knowledge base used to personalize patient experiences.
Orchestrates actions across WhatsApp, voice, email, and APIs. Threats include insecure tool integration, where a compromised agent could be manipulated into sending unauthorized communications or executing malicious API calls.
Not certain from the listing — The hosting environment and sandboxing mechanisms for the Nebula SaaS platform are not specified. Threats include container escape, privilege escalation, or insecure API endpoints exposing patient data.
Not certain from the listing — While 'real-time data analytics' are mentioned, specific security monitoring, guardrails, or logging of agent decisions are not detailed, creating potential blind spots for anomalous agent behavior.
The listing explicitly claims to 'ensure compliance' (highly relevant for healthcare regulations like HIPAA). Threats include compliance drift, lack of auditability in automated decisions, and authorization bypasses within the B2B SaaS tenant model.
Not certain from the listing — There is no explicit mention of multi-agent orchestration or a marketplace. Threats are primarily limited to single-agent API integrations and external communication channels.
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.