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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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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Challenge
Challenge
In order to manage personal data, companies first need to know where the data is stored. As business needs are growing, the number and complexity of IT systems are also growing. Before GDPR, there were no major concerns about personal data in those systems. However, things changed in many ways.
It is not uncommon for companies to have a low level of awareness about where they store personal data. This situation makes them incapable to fully address all the requirements defined by GDPR.
Think about the situation where a company receives a request for the right-to-be-forgotten from a specific data subject. How can a DPO fulfill this request if there is no information about where exactly is the personal data stored?
Understanding where the data is stored within the company is a prerequisite to compliant data privacy strategy!
Solution
The Data Inventory module connects to all relational databases of the company, making search inquiries, eliminating false positives and identifying all personal information across multiple systems.
This allows you to utilize the power of machine learning to precisely identify all personal data and to help you understand how data flows through your company.
Some of the companies tried to do a manual Data inventory, which resulted in exhausting a lot of resources and time with a questionable result. With manual data discovery, you can not be confident in results, and if a new system is added, you need to perform the whole task once again.
The Data Privacy Manager delivers an automatic Data Inventory process saving you time and enabling companies to have a clear and correct starting point for the GDPR compliance project.
Included functionalities
• Central management of system meta-data
• Discovery tool for SQL databases
• Manage data types (entities)
Benefits
Create a data inventory
Highly precise identification of personal data across multiple company systems on-premise or in cloud
Eliminate false positives
Prevent mistakes and errors in data report and finally have an accurate insight into the personal data
Time-saving
Data Inventory module connects to the relational database and automatically delivers data discovery results.
Related Personal Data Discovery Modules
Data Discovery: AI-based solution designed to automate personal data discovery and classification.
Powerful privacy-centric solution that can provide you with the knowledge, tools and ability to analyze your data resources, create robust data governance framework and gain new business insights. Result of years of Research and Development & co-funded by the European Union.
Data Discovery: AI-based solution designed to automate personal data discovery and classification.
Powerful privacy-centric solution that can provide you with the knowledge, tools and ability to analyze your data resources, create robust data governance framework and gain new business insights. Result of years of Research and Development & co-funded by the European Union.
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…
Download the papers
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