SoraVideo.art — agentic threat model

Utilizes Sora 2 and potentially auxiliary models for text-to-video, image-to-video, and storyboarding. Primary threats include adversarial prompt injection to bypass safety filters, generation of deepfakes or copyright-infringing material, and potential model-use policy violations.

Handles user-uploaded reference media, prompts, and versioned video renders. Key threats include unauthorized access or exfiltration of proprietary creative assets, data leakage across tenant boundaries in the cloud workspace, and lack of clear data retention policies.

Not certain from the listing — the underlying orchestration framework for managing video generation pipelines and versioned iterations is unspecified. Threats likely involve insecure state management of versioned renders and injection vulnerabilities in prompt/metadata parsing.

Not certain from the listing — details on cloud rendering infrastructure and API hosting are omitted. Potential threats include resource exhaustion (DoS) from heavy video rendering tasks, insecure API endpoint exposure, and lack of isolation between rendering workloads.

Not certain from the listing — no mention of automated guardrails, content moderation, or logging of generated outputs. This creates blind spots for the generation of abusive, violent, or non-consensual synthetic media.

Not certain from the listing — compliance with data privacy regulations (e.g., GDPR/CCPA for uploaded faces/media) and robust API authentication mechanisms are not detailed, which is critical given features like watermark removal.

Not certain from the listing — no explicit multi-agent or marketplace interactions are described, though downstream integration of its T2V/I2V APIs into external creative pipelines could propagate untrusted or manipulated video assets.