Triage Agent — agentic threat model
The Triage Agent poses a moderate-to-high risk due to its integration with manufacturing workflows, parts prediction, and image-based diagnostics, where compromised outputs could lead to operational disruption or incorrect maintenance actions.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.60 | |
| 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 uses multimodal LLMs for image-based damage detection and text-based troubleshooting. Threats include adversarial image perturbations to trick damage detection and prompt injection to bypass triage steps.
Not certain from the listing — utilizes 'adaptive institutional knowledge capture' and RAG for parts prediction. Threats include knowledge-base poisoning with incorrect repair steps or parts data, and data exfiltration of proprietary manufacturing designs.
Not certain from the listing — orchestrates workflows and step-by-step resolution paths. Threats include insecure tool integration with ticketing/ERP systems and manipulation of the planning logic to trigger unauthorized workflow actions.
Not certain from the listing — deployed via API within a service environment. Threats include unauthorized API access, lack of sandboxing for workflow execution, and exposure of internal manufacturing databases.
Not certain from the listing — no explicit monitoring or guardrails mentioned. Threats include blind spots in detecting drifted diagnostics or adversarial inputs, and lack of audit logs for automated triage decisions.
Not certain from the listing — no compliance certifications (e.g., ISO 27001, SOC2) or access control mechanisms are detailed. Threats include unauthorized users triggering diagnostic workflows or accessing sensitive institutional knowledge.
Not certain from the listing — mentions orchestrating workflows across 'AI agents'. Threats include cascading failures if a triage agent passes corrupted diagnostic data to downstream ordering or dispatch agents.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).