Veo 3 AI Video Generator — agentic threat model
Veo 3 AI Video Generator exhibits low agentic risk due to its primary focus on text/image-to-video generation without autonomous execution capabilities. The primary security concerns lie in content moderation (preventing deepfakes/NSFW content) and the secure orchestration of third-party video generation APIs.
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.
Integrates multiple foundation models (Google Veo 3, Kling, Hailuo, Seedance). Primary threats include adversarial prompt injection to bypass safety filters (generating deepfakes, copyright violations, or NSFW content) and potential model misalignment.
Not certain from the listing — No details are provided regarding how user-uploaded images, text prompts, or generated videos are stored, processed, or secured against data exfiltration and privacy leaks.
Not certain from the listing — The platform orchestrates multiple video models, but it is unclear if it uses an agentic framework (like LangChain) or simple API routing. Threats include insecure integration of third-party model APIs.
Not certain from the listing — No information is available regarding the hosting infrastructure, API key management for external model providers, or sandboxing of generation processes.
Not certain from the listing — There is no mention of automated content moderation guardrails, output filtering, or logging mechanisms to detect and block malicious generation requests.
Not certain from the listing — Compliance controls, user authentication, and access policies are not described, which are critical for managing paid/open-source model access and preventing resource abuse.
Not certain from the listing — The agent operates as a standalone generator; there is no evidence of multi-agent collaboration or ecosystem-level interactions.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).