v04 ai video — agentic threat model
V04 AI Video is primarily a generative media tool with low agentic risk, posing threats mainly related to content safety, prompt injection, and resource abuse rather than autonomous system compromise.
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.
Utilizes Google Gemini and video generation models. Primary threats include prompt injection to bypass safety filters, generation of misaligned/NSFW/copyrighted content, and adversarial inputs.
Not certain from the listing — likely processes user-uploaded images and text prompts. Risks include data exfiltration of user assets, lack of data lineage, and potential IP/copyright issues if user inputs are used for model fine-tuning.
Not certain from the listing — likely uses a basic orchestration framework to chain Gemini prompt expansion with video generation pipelines. Risks include insecure tool integration and prompt injection manipulating the generation pipeline.
Not certain from the listing — hosted as a closed-source paid service. Risks include API abuse, GPU/CPU resource exhaustion, and insecure storage of generated video assets.
Not certain from the listing — no details on content moderation or output guardrails, though standard safety filters for NSFW/violence are expected for video generation.
Not certain from the listing — closed-source paid tool. Risks include lack of clear data privacy policies regarding user-uploaded images and generated video ownership.
No multi-agent or marketplace interactions indicated. It operates as a standalone horizontal utility, minimizing ecosystem-level cascading failure risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).