At Nanonets, we understand the importance of data privacy and security, particularly when it comes to Personally Identifiable Information (PII). As a result, we have developed robust PII data masking features to ensure the protection of sensitive information during the data extraction process which can be requested as an add-on to your Enterprise Plan.
PII data masking is a 5 step process :
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Identification: Our advanced machine learning algorithms are trained to identify and recognize various types of PII data in the documents, such as names, addresses, phone numbers, email addresses, Social Security numbers or any other identifiable information that your organisation considers PII based on customer requests.
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Masking: Once PII is detected, our platform applies customizable data masking techniques to either obfuscate, anonymize, or redact the sensitive information, depending on your organization's specific requirements and data protection policies.
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Compliance & Storage: Our solution helps your organization comply with various data privacy regulations, such as GDPR, CCPA, and others, by ensuring that PII data is adequately protected post capture. Nanonets is SOC 2 compliant and access data only on a need-to-know basis when requested by the customer.
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Audit Trails and Monitoring: To maintain transparency and accountability, our platform provides detailed audit trails and monitoring capabilities. This allows your organization to track and review all PII data handling activities, ensuring compliance with internal policies and external regulations.
- Customization: We understand that each organization has unique data protection requirements. Our PII data masking solution can be easily customized to meet your specific needs and preferences.
When you integrate Nanonets into your data extraction process, you can confidently automate your document processing workflows while safeguarding sensitive information and maintaining compliance with data privacy regulations.