vei4 ai — agentic threat model
Vei4 AI is a low-autonomy video generation agent with risks primarily centered around content safety, prompt injection, and intellectual property. The lack of disclosed security controls and reliance on external foundation models (Google Veo/Gemini) highlights a need for robust input/output filtering.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| 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 Google Veo and Gemini AI as foundation models. Primary threats include prompt injection to bypass safety filters, adversarial inputs designed to generate restricted content, and potential copyright/intellectual property risks from generated video outputs.
Not certain from the listing — details on training data, RAG, or video asset storage are not provided. Potential risks include unauthorized access to user-uploaded assets, prompt history, or generated video files.
Not certain from the listing — the orchestration framework (e.g., Flow Vei4) is proprietary. Risks include insecure prompt construction or lack of input validation before passing parameters to the Google Veo/Gemini APIs.
Not certain from the listing — hosting details are unspecified, though likely cloud-based. Risks include insecure API integrations with Google Cloud services and potential exposure of API keys or session tokens.
Not certain from the listing — no mention of content moderation guardrails, output filtering, or logging. Risks include generation of harmful, deepfake, or NSFW content due to lack of real-time observability and output validation.
Not certain from the listing — compliance certifications (e.g., GDPR, SOC2) and access controls are not disclosed. Risks include lack of data privacy assurances for enterprise video generation.
Not certain from the listing — no multi-agent or marketplace integrations are described. Risks are minimal unless integrated into broader automated content pipelines.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).