# Data Classification Recommendations

Identifying and classifying Personally Identifiable Information (PII) across large volumes of enterprise data can be a complex and time-consuming process. This challenge makes it difficult for organizations to maintain compliance with evolving data privacy regulations.

To address these issues, a new AI-based approach called Data Classification Recommendation has been developed. This method simplifies PII management by allowing users to execute an AI model across an entire domain, such as “Privacy.” The model scans the data, identifies potential PII elements, and presents them for user review with a simple Yes/No confirmation for each suggestion.

This approach significantly reduces the manual effort involved in PII classification. Additionally, users receive automatic alerts whenever PII is detected, helping ensure ongoing compliance with data privacy requirements.<br>

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXdxHbJeS58O0ucdJT2d7QTPbr2nGCgXrEgq6tnWfY4__QoNqZkqTNIQzR7DyOLxKdNPQJ22dJ6-VxcDUQFHI8YegKpnrXuiWMprEJgW43nLcJQs4q0SmRYFaEYZKIgKckrJ4tdW?key=UB3jazI03Domow6i7y49wQ" alt=""><figcaption></figcaption></figure>


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