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 subjects 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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Data Removal
Introducing the only GDPR compliant, end-to end automation of personal data removal
Challenge
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…
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Saudi Arabia’s Personal Data Protection Law (PDPL) is its first comprehensive national data protect…
Saudi Arabia’s Personal Data Protection Law (PDPL) is its first comprehensive national data protection law that regulates the processing and collection of personal data. The law will become fully enforceable on September 14, 2023, and companies have until September 13, 2024, to achieve full compliance.
Managing informed consents in the Pharmaceutical industry has become a critical aspect of ensuring ethical, legal and responsible clinical trial practices.
Personal data discovery and classification are crucial in the Pharmaceutical Industry, since the discovery of new drugs and treatments often relies on analyzing large amounts of data, including data from clinical trials, patient data, and genomics data.
When given the task to map all personal data processed by your company, you could expect to encounter some dragons and monsters. These monsters might come in the form of large volumes of personal data in places you wouldn't expect them to be.
Request a Data Privacy Manager demo
Let us navigate you through the Data Privacy Manager solution and showcase functionalities that will help you overcome your compliance challenges.
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Resources
Latest blog posts
20 biggest GDPR fines so far [2023]
19/09/2023
TikTok fined €345m for violation of GDPR
18/09/2023
How to determine lawful basis for processing
05/09/2023
20 biggest GDPR fines so far [2023]
19/09/2023
TikTok fined €345m for violation of GDPR
18/09/2023
How to determine lawful basis for processing
05/09/2023
Services
Resources
Latest blog posts