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This article addresses the important question of how to protect sensitive enterprise data before it reaches an external LLM. It demonstrates the implementation of different capabilities available in SAP's AI Launchpad, including anonymization, data masking, content filtering, and input screening. Natively, on HANA Cloud, it covers k-anonymity, l-diversity, differential privacy, dynamic data masking, and authorization controls. Outside HANA, it covers PII detection and content safety. A finance use case shows how a financial reporting payload can be sanitized at each layer before it leaves the context store.
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