Veo 3.1 — agentic threat model
Veo 3.1 is a specialized text-to-video generator with low agentic risk, as it lacks autonomous planning, tool execution, or multi-agent capabilities. Its primary security risks lie in model alignment (e.g., deepfakes, harmful content generation) and the opacity of its underlying foundation model.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.80 |
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.
Powered by Google's Veo 3.1 model. Primary threats include adversarial prompt injections to bypass safety filters, model reprogramming, and the generation of mis-aligned or harmful video outputs (e.g., deepfakes, copyright violations).
Not certain from the listing — details about training data, RAG, or video dataset provenance are not disclosed, raising potential concerns regarding copyright, data poisoning, or lineage gaps.
Not certain from the listing — there is no evidence of an agentic orchestration framework, planning loops, or tool-calling capabilities beyond basic text-to-video generation.
Not certain from the listing — hosting infrastructure, sandboxing of video rendering, and secrets management are undisclosed, though it likely runs on high-performance GPU cloud infrastructure.
Not certain from the listing — no details are provided regarding output guardrails, content moderation APIs, or logging mechanisms to detect abusive prompt generation.
Not certain from the listing — compliance certifications (e.g., SOC2, ISO), user authentication standards, and data privacy policies are not specified in the public directory.
Not certain from the listing — the platform operates as a standalone horizontal video generator with no mentioned multi-agent interactions or marketplace integrations.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).