Auto Data Redaction

Benefits

High Accuracy

Automatically identify and categorize sensitive data elements, including personal identifiable information (PII), such as names, social security numbers, credit card details, addresses, and more. Using Named Entity Recognition (NER) and Machine Learning (ML) trained on thousands of conversations, MiaRec’ AI-based redaction is more accurate than traditional pattern-matching.

No Over-Redaction

The models understand the context of the conversation, so it can predict with high accuracy if these digits belong to a credit card number and must be redacted, or if these digits are customer account numbers, and they are needed to be kept in the recordings. This results in avoiding significantly mis-redaction and over-redaction.

Out-of-the-Box Configuration

The solution requires zero configuration, eliminating the need to set complex rules and spend time on extensive configuration, compared to pattern-matching auto data redaction solution.