Jev Model — agentic threat model
Jev Model is a low-risk, stateless System 1 decision and routing model with zero autonomy, planning, or tool execution capabilities. Its primary security risks are limited to adversarial input manipulation affecting routing decisions and standard API-level vulnerabilities.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| 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.
The core of Jev Model is a System One decision model (likely a small LLM or classifier). It is highly vulnerable to adversarial examples and prompt injection designed to manipulate classification or routing outputs, as well as model stealing via API query harvesting.
Not certain from the listing — the model accepts text and JSON as shared state per request, but there is no mention of a persistent knowledge base, vector store, or RAG pipeline. Standard data exfiltration risks apply to the state sent in transit.
The model does not utilize an agent framework, orchestration layer, planning algorithms, or tool-calling capabilities. Consequently, threats related to tool misuse, memory poisoning, or framework vulnerabilities are not applicable.
Not certain from the listing — the model is deployed via an online playground and API. Standard cloud infrastructure threats such as API key exposure, unauthorized access, and denial of service apply, but specific hosting details are omitted.
Not certain from the listing — while the model outputs probabilities which can assist in monitoring decision confidence, there is no mention of built-in guardrails, real-time drift detection, or logging mechanisms.
Not certain from the listing — no compliance certifications (e.g., SOC2, ISO 27001) or specific identity and access management (IAM) controls are detailed for the API or playground access.
While not a multi-agent system itself, Jev Model is designed for routing and classification, meaning it may serve as a gateway in larger agent ecosystems. A compromise or manipulation of its routing logic could lead to downstream cascading failures in connected systems.
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 — every score is re-derived by the same automated method as an agent's public evidence changes.