AI-based solution designed to automate personal data discovery and classification

Data Inventory

Discover personal data across multiple systems in the cloud or on-premise

Data Processing Inventory (ROPA)

Harbor cooperation between DPO, Legal Services, IT and Marketing

Data Subject Request

Turn data subjects request into an automated workflow with a clear insight into data every step of the way

Assessment Automation

Collaborate with stakeholders and manage DPIA and LIA in real-time with Assessment Automation

Third Party Management

Guide your partners trough vendor management process workflow

Risk Management

Identifying the risk from the point of view of Data Subject

Incident Management

Quickly respond, mitigate damage and maintain compliance

Consent and Preference Management

Data Removal

Introducing end-to end automation of personal data removal

State-of-Privacy-Assessment (SOPA)

11 steps to jumpstart your compliance process

15/11/2023

How to conduct Legitimate Interests Assessment (LIA) ?

15/10/2023

Learn the terms

Records of processing activities

Keylogging

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.

Latest papers

India’s Digital Personal Data Protection Act DPDP

13/10/2023

Saudi Arabia’s Personal Data Protection Law PDPL

24/08/2023

Legal & Ethical Review & Mastering Informed Consent for Clinical Trial Studies

22/03/2023

Data Removal

Introducing the only GDPR compliant, end-to end automation of personal data removal

Challenge

Each personal data collected by the company goes through a personal data lifecycle. Data is collected through different channels, and processed for everyday business operations. After the lawful basis for processing expires, personal data has to be archived for legal and documentation purposes and eventually removed.

The data removal process imposed a new set of challenges, amplified by the lack of understanding of where the data is stored and no real insight into the technical and business implication of data removal.

At the same time, companies are expected to demonstrate compliance with the fair information practice principle, storage limitation principle, the right to be forgotten, and the laws that regulate documentation retention periods, like archiving law.

It gets more complicated when the data subject uses more than one active service of the company, for which, very often, the same data sets are required on the same systems. For this reason, the data removal system needs to be intelligent enough not to erase the personal data that are still in use.

The last challenge refers to the technical orchestration of data removal. Since it is almost impossible to delete data in big enterprise systems, the GDPR recommends data anonymization and pseudonymization as opposed to deleting data. In the event of data deletion by mistake, there is a technical possibility of recovering data.

Solution

When a company is processing a large amount of data across multiple systems, automation is the only way to avoid the possibility of human error and reduce the risk of non-compliance. In addition, automation minimizes the manual work needed for data deletion or recording every action taken over data.

Data Privacy Manager automatically gives instructions to a different system when data deletion needs to be executed and enables you to define data retention and data removal operationalization on different data categories.

Data Privacy Manager’s automated services answer two key questions:

“WHICH data subject’s data needs to be removed?” and
“WHEN does this data need to be removed”?

Data retention schedule and Data destruction schedule are two real-time services available for end-to-end automation of personal data removal.

That represents a GDPR compliant personal data removal engine.

Included functionalities

• Automated data removal schedule

• Central orchestration of data removal

• Detailed data removal log

Benefits

Automation

Privacy professionals do not have to spend their time giving instructions to the IT team on which data should be removed and when.

Data retention schedule

Precise real-time service keeping records and counting data retention period for personal data down to a single data subject level.

Data destruction schedule

Automatically give instructions to different systems on which data should be removed and when.

Related Data Removal orchestration Modules

No results found.

Flexible pricing options

Data Privacy Manager is available in flexible pricing options for your growing business needs.

Personal data lifecycle

Collection

Interaction with data subjects

Contract
Consent

Lawfull Processing

Everyday business

Data monetization
Services delivery
Marketing

Archiving

Lawful basis expiration

Contract Expiration
RTBF
Opt-out

Destruction

Data destruction

Anonymization
Deletion

Business Process
(Original Purposes)

Data Retention
(Purpose change)

No Purpose

Personal data lifecycle

Business Process
(Original Purposes)

Interaction with data subjects

Contract
Consent

Everyday business

Data monetization
Services delivery
Marketing

Data Retention
(Purpose change)

Lawful basis expiration

Contract Expiration
RTBF
Opt-out

No Purpose

Data destruction

Anonymization
Deletion

Learn how this solution helps your industry

While Organizations have been busy collecting consents and putting together compliant Records of processing activities, the data removal remained overlooked, or maybe postponed? Most of the Organizations have by now documented data retention policies and have a good idea about how long they can keep the data. Data retention starts when one of the following scenarios happen: 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 individual stopped using a product or a service…