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← Zentegrio

Zentegrio — agentic threat model

9.3AIVSS 9.3 · Critical

Zentegrio presents a high-risk profile due to its integration into sensitive industries like healthcare and insurance, combined with direct connection to public telephony and core business workflows. The lack of explicit security controls or human-in-the-loop verification for automated actions like claims intake and scheduling increases the potential impact of voice-based prompt injection or tool misuse.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.8Factor sum 5.1/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.60
Self-Modification
0.10
Dynamic Tool Use
0.70
Persistent Memory
0.50
Contextual Awareness
0.70
Dynamic Identity
0.20
Multi-Agent Interactions
0.20
Non-Determinism
0.60
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — Zentegrio uses voice-driven LLMs/models (likely proprietary or third-party APIs), but specific foundation models are not disclosed. Threats include adversarial voice inputs (prompt injection via voice), model hijacking, or misaligned outputs.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — Likely uses RAG or database lookups for policy questions, claims, and travel planning, but specific vector stores or data pipelines are not detailed. Threats include knowledge-base poisoning or exfiltration of sensitive customer/healthcare/insurance data.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — Orchestrates voice calls, schedules appointments, and integrates with workflows/core tools, but the underlying framework is undisclosed. Threats include insecure tool integration (e.g., calendar/CRM APIs) and prompt injection leading to unauthorized tool execution.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Hosted as a closed-source SaaS, likely cloud-based, but infrastructure details, sandboxing, and secrets management are not specified. Threats include exposure of telephony/SIP infrastructure or API keys.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No details on guardrails, real-time monitoring, or evaluation frameworks are provided. Threats include blind spots in voice interactions or lack of detection for prompt injection.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — Operates in highly regulated sectors (Healthcare/HIPAA, Insurance), but no specific compliance certifications (HIPAA, SOC2, GDPR) or identity/authZ mechanisms are detailed.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — Mentions coordinating contractors and integrating with core tools, but does not explicitly detail multi-agent orchestration or marketplace interactions. Threats include cascading failures if integrated APIs or downstream systems are 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.