Protecting the Data Behind AI: Access, Exposure, and Control

AI can make enterprise information easier to find while exposing weaknesses in existing permissions and data practices. This panel examines how security and data teams can protect information used for training, retrieval, and inference. Explore discovery, classification, entitlement management, retention, and monitoring, with attention to how controls carry through to AI outputs. Attendees will gain a practical view of securing the data foundation that enterprise AI depends on.

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