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model optimization deploy locally run inference remove OVSA from security (it was duplicated)
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OpenVINO™ Security
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openvino_docs_security_guide_workbench openvino_docs_OV_UG_protecting_model_guide
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Deploying deep learning models for OpenVINO™ may raise security and privacy issues. Trained models are often valuable intellectual property and you may choose to protect them with encryption or other security tools.
Actual security and privacy requirements depend on your unique deployment scenario. This section provides general guidance on using OpenVINO tools and libraries securely. The main security measure for OpenVINO is its Security Add-on. You can find its description in the Ecosystem section.