How Natural Language Technology safeguards your personal data.

How Natural Language Processing Safeguards Your Personal Data: A Guide to PII Anonymisation

In an age where data privacy is a growing concern, safeguarding personally identifiable information (PII) is more critical than ever. Utilising Natural Language Processing (NLP) technologies, like those embedded in our Assure platform, can offer robust solutions for PII anonymisation. But how exactly does it work? Read on to find out.

There are several ways in which NLP models can be used for anonymisation, including:

The Importance of Anonymising PII

“Data privacy is not just a compliance mandate but a cornerstone in fostering trust between businesses and customers. Anonymising PII is essential to align with UK Privacy Regulations and to protect the integrity of customer data. Natural Language Processing for customer data makes this task both efficient and precise.”

Anonymisation Techniques Powered by NLP

NLP models offer several strategies to anonymise PII effectively, ensuring both compliance and customer trust. Here are a few approaches:

Named Entity Recognition (NER)

NER models, an integral part of our Fluent One Data Protection suite, identify and extract named entities such as names, addresses, and phone numbers. These entities are then replaced with placeholders or pseudonyms.

Redaction

Leveraging AI-driven quality checks, Assure can identify sensitive information and redact it to protect individual privacy.

De-identification

Assure uses advanced NLP models to remove or replace specific information that could be used to identify an individual, staying ahead of the curve in Protecting Personal Data with AI.

Pseudonymisation

With the power of NLP, Assure replaces names with unique identifiers that can’t be traced back, offering another layer of data privacy.

How Fluent One Fits In

Fluent One utilises pre-trained deep learning models to identify and anonymise PII effectively. Our platform can detect names, addresses, email addresses, and customer reference numbers. It then applies a variety of anonymisation techniques, including:

Replacing with a fixed value
Masking
Removing
Hashing

The Fluent One PII feature also provides a service to reverse the anonymisation process.

Anonymisation and De-anonymisation with Fluent One

Our platform also offers a service to reverse the anonymisation process. This is ideal for using less secure third-party cloud services while maintaining a secure internal environment. You can anonymise the data to pass to the cloud and then reverse the anonymisation for further internal processing.

Conclusion

Safeguarding personal data is not only a regulatory requirement but also a cornerstone of customer trust. With the cutting-edge capabilities of Fluent One, powered by Natural Language Processing, businesses can achieve both. Fluent One is your partner in aligning with UK Privacy Regulations through AI-driven data protection.

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