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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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Learn the terms

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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Retention period

The retention period is a limited time period in which an organization keeps specific data about the data subject.

Data retention starts when one of the following scenarios happen:

 

1. The initial purpose for data collection and processing has expired. Usually, a product or services contract with an individual has expired, an insurance policy has expired, or an individual stopped using a product or a service.

2. The direct action of the Data Subject, usually an opt-out, unsubscribe or request for the right to be forgotten.

 

Additionally, there can be a specified delay for data retention start, e.g., the beginning of the next fiscal year.

The data removal is triggered by the expiry of the data retention period. When the data retention period expires, any further processing of the data by your Organization becomes illegal.

In order to minimize the risk of non-compliance, once the data retention period expires, your Organization must remove personal data from its systems.

Data removal is executed either by deleting the data or, more often, by anonymizing identifiable data.

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