Sora2 AI — agentic threat model
Sora2 AI presents a moderate risk profile primarily centered on generative output abuse, such as deepfakes and misinformation, due to its advanced physics and audio synchronization capabilities. The open-source nature allows local deployment but lacks visible built-in guardrails or safety mitigations in its public listing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.90 |
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 advanced video and audio foundation models. Primary threats include adversarial prompt injection to bypass safety filters (generating NSFW or deepfake content), model stealing, and training data poisoning.
Not certain from the listing — data operations for training the physics engine and audio sync are unspecified, but pose risks of training data poisoning or copyright/IP exfiltration.
Not certain from the listing — the orchestration framework managing multi-shot continuity is not detailed, but insecure state handling could lead to session hijacking or prompt injection across shots.
Not certain from the listing — hosting infrastructure is not described, but as an open-source or freemium tool, deployment could suffer from insecure local hosting or exposed API endpoints.
Not certain from the listing — no explicit guardrails or monitoring systems are mentioned to detect or block the generation of harmful, deepfake, or copyrighted content.
Not certain from the listing — compliance with copyright laws, EU AI Act (especially regarding deepfakes), and user authentication controls are not detailed.
Not certain from the listing — there is no evidence of multi-agent or marketplace interactions, limiting ecosystem-level cascading risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).