Add-On

Auto Data Redaction

Automatically remove sensitive data such as Personal Identifiable Information (PII) and payment card numbers from your transcripts and audio recordings.

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Protect Sensitive Data

Remove Personal Identifiable Information (PII) like account numbers, social security numbers, dates of birth, and PCI data, including card numbers, from audio and transcripts.

Scale Compliance Workflows

Save your staff time by automating compliance workflows. Easily censor sensitive customer data in all instances of PCI and PII discussed between agents and customers.

Improve Accuracy

Improve accuracy by eliminating human error and bias in manual redaction. AI-powered audio redaction detects context in conversations to censor inaccuracies from transcriptions.

MiaRec makes compliance easy with AI-powered Automatic Data Redaction

MiaRec's newly enhanced ML-Based Auto Redaction sets the gold standard for accuracy in the current market landscape.

By harnessing the forefront of AI technology, including Named Entity Recognition and Machine Learning, we have achieved an exceptional 99.9 percent accuracy in identifying and eliminating sensitive information from both the transcripts and the associated audio files. Each redaction type is clearly labeled in the transcripts for full visibility into what data was redacted.

Scale and automate your compliance processes with MiaRec Auto Data Redaction capabilities.

Data Redaction 2-1
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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.

Experience MiaRec's Auto Redaction Yourself

MiaRec Auto Data Redaction feature is leveraging the latest advancements in Machine Learning and NER technologies to automatically redact customer information (including payment card details, social security numbers, date of birth, account numbers, and more) from both your call recording files as well as transcripts. Click below to start the interactive product walkthrough:
 

Auto Data Redaction FAQs

Is there a way we can test the data redaction before we use it on our call data?

Yes. MiaRec allows for testing of data redaction by creating a data redaction job. Instead of redacting text from the transcript, it will highlight the data that would be redacted in a real scenario.

Can data redaction be used for redacting other types of sensitive info (other than payment card)?

Yes. It is possible to train the model to redact other pieces of sensitive info such as Social Security Numbers, bank account numbers, and more.

Once data is redacted, can it be recovered?

No, data redaction is permanent.

Experience MiaRec

See How Automatic Data Redaction Can Transform Your Organization

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