Protecting the numerical parameters that define a trained AI model from theft or tampering is model weights security. It is used through encryption, access controls, and hardware security modules. AI companies, developers, and enterprises benefit by safeguarding proprietary algorithms, preventing model misuse, and maintaining a competitive edge against unauthorized replication.
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