CISOs and Data Protection officers lead the effort to comply with an ever-increasing number of national and local regulations – from HIPAA, CCPA and the New York privacy shield in the US to the EU's GDPR and Brazil's LGDP. The following examples illustrate the stringent measures with which organization must comply:

 

• General Data Protection Regulation (GDPR) – Protects private individual's (data subjects) data and gives them the right to correct, move and erase data at their discretion (among other rights). Failure to comply may subject organizations to fines of up to 4% of revenue along with costly brand damage.

 

• California Consumer Privacy Act (CCPA) - Requires companies to gain visibility over their customer's private data, store it safely, and classify it to the relevant category. Companies must tag customers' "do not sell" requests and prevent future sales of data to third parties. Non-compliance may result in a $750 USD fine per record.

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• Health Insurance Portability and Accountability Act (HIPAA) - Sets the standard for sensitive patient data protection. Companies that deal with protected health information (PHI) must have physical, network, and process security measures in place and follow them to ensure HIPAA compliance.

 

 

What all these regulations have in common is that they compel organizations to gain full visibility and control over their sensitive data (e.g., PII, PHI, credit card information). To comply with these requirements, organizations must:

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1. Know what type of private data they control or process

2. Know where that data resides

3. Take measures to protect that data

4. Support the rights of data subjects (e.g., delete or transfer data)

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With huge volumes of unstructured data strewn across office servers, cloud drives, employee workstations and laptops, meeting privacy requirements can be a daunting task.

Not anymore. Suridata.ai offers a seamless, easy-to-install solution that helps organizations comply with privacy regulations within hours. Using proprietary machine learning algorithms