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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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Accuracy in the context of personal data refers to the requirement that data controllers and processors take reasonable steps to ensure that the personal data they hold is correct and up to date.

This means that organizations must establish processes to prevent inaccuracies during the data collection process and regularly update the data as needed.

They must also consider the specific purposes for which the data is being processed and ensure that the data remains accurate in relation to those purposes.

In addition, the principle of accuracy requires organizations to respond to requests from data subjects to correct any inaccurate or incomplete personal data that they hold.

This means that organizations must have appropriate procedures in place to allow individuals to request corrections and must take prompt action to correct any errors.

Failing to maintain accurate personal data can result in negative consequences for both individuals and organizations, such as loss of trust, legal liabilities, and reputational damage.

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