Veo 3.2 AI Video Generator — agentic threat model
Veo 3.2 is primarily a generative video model with low agentic autonomy, presenting low systemic risk but high potential for misuse in generating deepfakes, misinformation, or copyright-infringing content due to its open-source nature and lack of built-in guardrails.
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 | 0.20 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| 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.
Utilizes a foundation video generation model. Primary threats include model stealing/extraction (especially given the open-source/freemium nature), adversarial prompt injection to bypass safety filters, and training data poisoning.
Not certain from the listing — details about training data ingestion, user image storage, or vector databases are not provided. If user-uploaded images are processed or cached, there are risks of data leakage and unauthorized access to intellectual property.
Not certain from the listing — there is no evidence of a complex agentic orchestration framework, planning loops, or tool-calling capabilities. The system appears to operate as a direct inference pipeline.
Not certain from the listing — deployment infrastructure is unspecified. As an open-source tool, self-hosting risks include insecure container configurations, while cloud-hosted freemium versions face standard web application and API vulnerabilities.
Not certain from the listing — no observability, logging, or automated guardrails are mentioned. There is a risk of generating harmful, explicit, or copyright-infringing content without real-time output filtering.
Not certain from the listing — no compliance frameworks (such as the EU AI Act requirements for watermarking synthetic media) or identity/access management controls are described.
Not certain from the listing — the agent operates as a standalone horizontal utility and does not exhibit multi-agent coordination or ecosystem-level interactions.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).