Dynamics 365 Contact Center: Omnichannel customer experiences - Use ML-based sensitive data redaction for human interactions

Dynamics 365 Contact Center introduces large language model (LLM)‑based sensitive data redaction for human‑to‑human interactions, allowing administrators to automatically redact PCI data shared during live conversations between customers and customer service representatives. The system uses LLMs to identify sensitive data based on conversational context, not just patterns, across both voice and digital channels. When sensitive data such as a credit card number, PIN, or account number is detected, it is replaced with a standardized redaction token (for example, CreditCardNumber:Redacted) before the data is persisted. Redaction is applied consistently across: Conversation transcripts Call recordings Logs and diagnostic data Analytics outputs derived from conversations Administrators can configure which PCI data types are redacted, and the system enforces these policies automatically without requiring representatives to pause recordings or change their workflows. This capability helps ensure that sensitive customer data isn't stored while preserving the non‑sensitive conversation context needed for quality assurance, analytics, and operational insights. Business Value: Organizations…

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