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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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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 Discovery: Advancing Your Privacy Program

Data Discovery and GDPR-first step towards compliance

Prior to the General Data Protection Regulation (GDPR) and other privacy laws, companies felt entitled to unlimited source and unregulated access to personal data, hoarding it with no clear business intention.

The data is collected through various channels, dispersed across IT systems, undetected, unprotected, unused, and perhaps lost. However, it still exists and holds companies accountable. 

With the shift in customers’ expectations, an increase in data breach numbers, and high data maintenance costs, privacy-progressive companies are revisiting how they manage, catalog, and profile personal data to avoid unnecessary data protection risks.

To make that shift, organizations will likely have to rely on a data discovery solution to manage personal data in a compliant way and get actionable insights into their data.

We will review the challenges, risks, technical and organizational issues, and solutions to these problems.

Data Discovery and GDPR

Organizations are accountable for the compliant collection and processing of personal data. After you collect personal data based on consent, legitimate interest, or any other appropriate lawful base, it is important to keep track of:

  • Where is personal data stored?
  • What types of data do you collect?
  • Which data categories do you hold?
  • Are there any organizational or technical measures that need to be implemented?
  • For how long can you keep personal data?
  • Who has access to that data?
  • Can you respond to data subject requests?

However, if you don’t know where your data is, it is impossible to respond to any of those questions and adequately protect personal data.

steps in data discovery and compliance

As an organization, you are accountable for the data you know you have and for personal data hidden across all your systems.

GDPR requires you to adequately manage personal data you collect, not to mention being able to fulfill your obligations towards individuals, like responding to data subject requests or deleting data you no longer have use for.

Why discovering data is not easy

Data Discovery is not easy, and getting the results you trust is almost impossible.

You might already know that going through large volumes of data and manually labeling personal data types consumes a lot of resources with questionable results.

On the other hand, you can experience a multitude of problems when mapping personal data with some data discovery tools, mostly because the software cannot scan both structured and unstructured data or data in languages other than English.

These problems would result in an incomplete and erroneous data inventory, which proved detrimental to any privacy program’s success.

That is why we have invested in building a DPM data Discovery software we can trust. This way, privacy teams do not have to rely on anyone in the company to provide information about the types of personal data they store. They can search and discover personal data independently.

How to approach Data Discovery in your company

1. Discover personal data

Identifying personal data scattered across various IT systems and databases from different data sources can pose a challenge, often requiring collaboration from various roles within your organization.

However, the outcomes of such discovery attempts, especially when employing manual or semi-automated methods, may remain uncertain.

Without a comprehensive understanding of your data, effective management and protection become unattainable, leaving your organization vulnerable to potential data breaches and steep compliance fines.

Hence, discovering where your personal data is located is a crucial first step towards ensuring compliance.

DPM Data discovery solution automates the entire process. It enables organizations to discover personal data from both structured and unstructured sources in any language and script, as well as uncover dark data and shadow processing.

2. Classify Personal Data

The next stage, which follows the data discovery process, is data classification. Data classification is a process of analyzing and organizing data from different sources and categorizing it based on data type, data category, or sensitivity of the data.

The data classification process marks data and labels it with different tags that allow you to automatically categorize them in different silos according to data category.

Innovative data discovery solutions, like DPM Data Discovery,  can automatically classify all personal data throughout your organization, allowing you to build up-to-date records of processing activities, define different data categories, and classify sensitive personal data, but also enforce appropriate technical and organizational measures for each specific data set.

3. Manage Personal Data

The main goal of the data discovery process is to find, classify, and finally manage personal data.

Data classification gives you the information necessary to manage your data, apply policies, conduct data protection impact assessment (DPIA), and prioritize your data protection and risk mitigation activities.

Although DPM Data Discovery is independent of privacy software in use, when combined with the information from the DPM platform, users can have informed insight into the actual data processing in the organization.

DPM users can analyze and visualize findings in the dashboard by combining information about the scanned system’s hosting location, technical and organizational security measures, assigned processing activities, and other information.

How can DPM Data Discovery help you advance your privacy program

DPM Data Discovery is a powerful privacy-centric solution that allows you to identify personal data from different sources across all your IT systems using machine learning algorithms. 

Why is this important? To comply with privacy regulations and manage personal data in line with the GDPR, you must account for every personal dataset you hold. This is where DPM Data Discovery comes into play.

value of personal data discovery

DPM Data Discovery

  • Language-agnostic and script-agnostic to cover all your markets no matter the language or the script in use
  • Discovers personal data from structured and unstructured sources
  • Connects to all standard databases
  • No third parties, no personal data in the cloud
  • Automatically searches for personal data
  • Uncovers dark data and shadow processing
  • Independent of privacy software in use

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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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