Dance2AI — agentic threat model
Dance2AI (Seedance 2.0) is a low-autonomy generative AI video tool with minimal agentic risk, primarily exposed to content manipulation, prompt injection, and data privacy risks regarding uploaded source images.
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 | 0.10 | |
| 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.
Not certain from the listing — likely utilizes proprietary or fine-tuned diffusion/transformer models for video generation. Key threats include adversarial prompt injection to bypass safety filters, model extraction, and output manipulation.
Not certain from the listing — processes user-uploaded images and text prompts. Risks include data leakage of proprietary creative assets and lack of clarity on whether user data is used for model retraining.
Not certain from the listing — does not appear to use an active agentic orchestration framework (like LangChain or AutoGPT). Risks are minimal here as it functions as a direct generator rather than an autonomous tool-using agent.
Not certain from the listing — hosted as a closed-source SaaS. Standard web application vulnerabilities, server-side request forgery (SSRF) during image ingestion, and GPU resource exhaustion are primary infrastructure threats.
Not certain from the listing — no explicit mention of content moderation guardrails or output monitoring. Lack of observability could allow generation of deepfakes or copyrighted material without detection.
Not certain from the listing — no compliance certifications (e.g., SOC2) or explicit access controls are detailed. Compliance risks involve intellectual property ownership of generated assets and EU AI Act alignment for synthetic media.
The listing describes a standalone horizontal video generation tool with no multi-agent marketplace or ecosystem integrations, making ecosystem-specific threats (like cascading agent failures) currently inapplicable.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).