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Published on July 28, 2020 AUTHOR Vivek Kokkengada
Whether the goal is compliance or data governance, to assess risk and apply necessary controls, organizations must be able to accurately track a piece of information (data) from its point of collection to its eventual destruction.
Unfortunately, data, its flow and usage, is a living organism which can change at any moment. Manual data mapping is a tedious, time consuming process which can get outdated as soon as it is completed if changes to data and its flows are not continuously monitored and automatically updated. As with any manual process, this means going back to the drawing board to repeat this exercise, wasting time and resources in the process.
Privacy regulations such as EU-GDPR mandate that organizations, both controllers and processors maintain accurate Records of Processing Activities (RoPAs) that must be provided to authorities on demand in the form of Article 30 reports. These reports must be accurate and up-to-date. In an ever changing and fluid IT environment, manually maintaining these RoPAs could be time consuming and prone to errors.
Automated data mapping with enrichment by subject matter experts is essential to maintain the quality and completeness of personal data processed by the organization and to ensure an effective and streamlined business process. While automation is the desired end game, organizations struggle with how to migrate their existing operations to this new paradigm and to keep it synchronized with their ever changing data landscape.
SECURITI.ai’s Data Mapping Automation solution helps customers transition smoothly from their existing manual processes to a modern automated framework with minimal disruption.
SECURITI.ai can help!
Anyone who has gone through a manual data mapping exercise can attest to how tedious and time consuming it can be. It offers at best a static, point-in-time view of the processing activity which in many cases is outdated before its completion. With SECURITI.ai’s Data Mapping Automation module, organizations can:
All of this is particularly important in large organizations with limited resources and no single owner to oversee the use of large volumes of personal data by multiple business units.
GDPR Article 30 requirements mandate controllers and processors employing 250 or more people to maintain a record of processing activities under its responsibility. Such a record, among other things, should maintain:
To meet these requirements organizations need to keep these records accessible and up-to-date. Static spreadsheets maintained by SMEs in individual business units are a great start but offer limited opportunities for privacy teams to scale and adapt to evolving regulatory requirements. SECURITI.ai’s data mapping automation module automates asset and data discovery, scanning, classification along with data mapping and visualization to provide an accurate picture of the data landscape, the volumes and categories of data subjects and personal data being handled by individual processes and the third parties with which this data may be shared.
Lastly, with the rise of privacy engineering, development teams are looking for ways to design, build and manage products that process personal information while preserving the appropriate levels of privacy and security throughout the lifecycle of data that is processed. What if there was a way to bake privacy into the design and development process ensuring effective and integrated privacy-by-design principles in the Software Development Life Cycle (SDLC). SECURITI.ai offers an API driven, automated data mapping approach that compliments the secure software development lifecycle by:
SECURITI.ai’s automated data mapping solution also consolidates all processing activities, streamlining the Data Subject Rights fulfillment process for organizations by intelligently linking all the discovered personal data to unique identities through an AI driven PeopleData-Graph building process. Breach management and response is also simplified with the availability of an accurate data map which includes an accurate description of any third party data transfers, identity and residency information of data subjects impacted by the data breach or incident.
Automated data mapping with enrichment by subject matter experts is essential to maintain the quality and completeness of personal data processed by the organization. The advantages of an effective and automated data mapping program includes:
SECURITI.ai’s Data Mapping Automation can help improve your organization's privacy posture. Watch a demo to learn more.