Plug & Play: Protecting Sensitive Data in an AI Workflow

Sensitive information can move through prompts, retrieval pipelines, model responses, and logs. This technical deep dive examines how to map those data flows and apply controls at the points where exposure can occur. Explore classification, permission-aware retrieval, masking, logging choices, and tests for unintended disclosure. Attendees will gain a concrete view of how security controls fit together in an AI workflow and where implementation tradeoffs need closer examination.

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