Goku AI Video Generator — agentic threat model
Goku AI is a low-risk, single-purpose generative video agent with minimal autonomy or tool integration, primarily presenting risks related to model abuse, generation of harmful synthetic media, and resource exploitation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.00 | |
| 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.
Uses rectified flow Transformers for image and video generation. Vulnerable to adversarial prompt injection, model evasion, and generation of harmful, biased, or copyrighted synthetic media.
Not certain from the listing — details on training data, image ingestion pipelines, and vector storage are omitted, raising potential concerns regarding data provenance and copyright infringement of input images.
Not certain from the listing — the orchestration framework is unspecified, but risks include insecure processing of user-uploaded images and lack of input validation on custom prompts.
Not certain from the listing — hosting and infrastructure details are not provided, though the high GPU demands of 60 FPS HD video generation make the infrastructure a prime target for resource exhaustion and denial-of-service attacks.
Not certain from the listing — no built-in guardrails, content moderation APIs, or output monitoring systems are mentioned to detect or block the generation of deepfakes or explicit content.
Not certain from the listing — lacks information on user authentication, access controls, or compliance with synthetic media regulations (e.g., watermarking or EU AI Act requirements).
Not certain from the listing — no multi-agent coordination or marketplace integrations are described, rendering ecosystem-level threats minimal.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).