GPT Image 2 video — agentic threat model
The agent exhibits very low agentic risk, functioning primarily as a prompt-driven image generation utility with minimal autonomy, planning, or tool integration.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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.
Uses image generation models (likely diffusion-based) which are susceptible to adversarial prompt injections to bypass safety filters, generating copyrighted, NSFW, or deepfake content.
Not certain from the listing — The data pipeline for training, fine-tuning, or retrieving assets is not specified, presenting potential risks of training data poisoning or copyright infringement if unlicensed datasets were used.
Not certain from the listing — There is no explicit mention of an agentic orchestration framework; the tool appears to operate as a direct prompt-to-generation pipeline with basic editing tools.
Not certain from the listing — The hosting environment, sandboxing for image processing, and secrets management are undisclosed, leaving potential vulnerabilities to server-side request forgery (SSRF) or resource exhaustion during heavy rendering tasks.
Not certain from the listing — It is unclear what guardrails or content moderation filters are in place to detect and block the generation of harmful, deepfake, or copyrighted visual assets.
Not certain from the listing — No compliance certifications (e.g., SOC2, GDPR) or robust identity and access management controls are detailed for user data protection.
Not certain from the listing — The tool operates as a standalone utility with no documented multi-agent integrations or marketplace dependencies.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).