OpenAI incorporates multiple layers of safety and moderation into Sora / Sora 2, combining content policies, filtering pipelines, watermarking, and red-teaming to reduce misuse. The system is designed so that content that violates rules (e.g. violence, hate, sexual content, impersonation) is blocked or refused. Also, videos include visible watermarks and metadata (such as C2PA) to signal AI generation and preserve provenance. (openai.com)
During generation, Sora applies prompt filtering and internal classifiers that screen disallowed content before synthesis. After generation, further moderation steps inspect videos for policy violations. The System Card for Sora 2 notes that OpenAI uses multimodal moderation classifiers (text, image, video) and strict thresholds especially for content involving minors. It also restricts image uploads featuring photorealistic people initially. (openai.com) The model is rolled out via invitation, which gives OpenAI more control over early usage and helps tune moderation before full scale.
Still, these guardrails are not infallible. Reports have surfaced of violent, racist, or misleading AI videos appearing in the feed shortly after launch, which suggests that moderation thresholds and filters have gaps. (theguardian.com) OpenAI describes safety as an iterative process; they continuously refine their policies and enforcement based on real-world usage and feedback. The combination of prompt filtering, multi-modal classifiers, watermarking, human review, and gradual rollout forms a layered defense against misuse.