AI Interior Design — agentic threat model
The AI Interior Design agent presents low agentic risk due to its lack of planning, tool execution, or persistent memory, acting primarily as a sandboxed image-to-image generation utility with human-in-the-loop review.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.00 |
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 a vision-language model or diffusion model for image-to-image generation. Vulnerable to adversarial image inputs (jailbreaks or prompt injection embedded in images) and model evasion.
Not certain from the listing — processes user-uploaded room photos. Risks include unauthorized storage/exposure of private user images, lack of secure transient data handling, and potential training data leakage if user uploads are used for fine-tuning.
The agent does not use complex agentic frameworks, planning, or tool execution, minimizing orchestration-level vulnerabilities like insecure tool calling or recursive loop exploits.
Not certain from the listing — requires secure web hosting and GPU-accelerated infrastructure to process images. Risks include server-side request forgery (SSRF) via image URLs if supported, and standard web application vulnerabilities.
Not certain from the listing — requires guardrails to prevent generation of inappropriate, offensive, or unsafe imagery from uploaded photos, as well as monitoring for abuse of image generation APIs.
Not certain from the listing — compliance risks center on user privacy (GDPR/CCPA) regarding uploaded personal living spaces, requiring clear data retention policies and user consent.
The agent operates as a standalone productivity tool with no multi-agent interactions or marketplace integrations, resulting in zero ecosystem-level threat exposure.
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.