ToolPlay adopts an enterprise-level data security architecture and builds a privacy protection system at three levels: the transport layer uses TLS 1.3 to encrypt all communications; the storage layer implements AES-256 file encryption; and the application layer strictly isolates user data. The platform has made a clear commitment at the legal level: the original material and generated products uploaded by users are not used for model training, are not shared with third parties, and retain a complete digital watermark traceability system.
Specifically for the technical implementation, each user has an independent file sandbox, and the generated content is automatically attached with DRM protection. Compared to some open source AI tools that collect user data by default, ToolPlay's data processing is carried out within the scope of the user's explicit authorization, and background logs are retained for only 7 days for service optimization. Enterprise users can also choose a private deployment option to keep data under full control on internal servers.
This answer comes from the articleToolPlay: Generating AI images and videos using multiple cash models in one platformThe
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