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AI-based solution designed to automate personal data discovery and classification
Discover personal data across multiple systems in the cloud or on-premise
Harbor cooperation between DPO, Legal Services, IT and Marketing
Turn data subject request into an automated workflow with a clear insight into data every step of the way
Collaborate with stakeholders and manage DPIA and LIA in real-time with Assessment Automation
Guide your partners trough vendor management process workflow
Identifying the risk from the point of view of Data Subject
Quickly respond, mitigate damage and maintain compliance
Consolidate your data and prioritize your relationship with customers
Privacy portal allows customers to communicate their requests and preferences at any time
Introducing end-to end automation of personal data removal

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General Data Protection Regulation

Here you can find the official content of the Regulation (EU) 2016/679 (General Data Protection Regulation) in the current version. All Articles of the GDPR are linked with suitable recitals.

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Anonymization is a process of irreversible data alteration so the data subject can no longer be identified. It is used as a method of protecting the data subject’s privacy and identity.

The biggest difference between anonymization and pseudonymization is that the pseudonymized data can be reversed using an additional set of information or encryption key, while anonymization is irreversible.

If the data is anonymized so the data subject is no longer identifiable (directly or indirectly), the GDPR does not classify it as personal data. This means anonymization can be used as an alternative to data deletion.

Read the blog: What you need to know about pseudonymization according to the GDPR

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