Hardware design doc — agentic threat model
This agent is a low-risk, single-turn document generator with minimal agentic capabilities, primarily vulnerable to prompt injection and the generation of inaccurate or unsafe hardware recommendations.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 relies on a standard commercial foundation model. Main threats include prompt injection to bypass safety filters (e.g., generating designs for restricted/dangerous hardware) or model hallucination leading to faulty component recommendations.
Not certain from the listing — may use a RAG pipeline over hardware component catalogs or rely entirely on the model's pre-trained parametric knowledge. If RAG is used, it is vulnerable to data poisoning of the component database.
Not certain from the listing — likely uses a simple single-turn generation pipeline rather than a complex agentic framework. There is no indication of tool execution or stateful memory, minimizing framework-level vulnerabilities.
Not certain from the listing — hosted as a closed-source web application. Standard web application vulnerabilities (OWASP Top 10) and lack of infrastructure transparency are the primary concerns.
Not certain from the listing — no mention of output guardrails, logging, or evaluation metrics to detect hallucinated or unsafe hardware designs before they are presented to the user.
Not certain from the listing — being a free, closed-source tool, there is no evidence of compliance certifications (e.g., SOC2), data privacy guarantees for user-submitted proprietary designs, or access controls.
The agent operates as an isolated, standalone utility with no multi-agent coordination, marketplace integrations, or external ecosystem dependencies described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).