#GDPR: How Enterprises Can Ensure GDPR Compliance in Cloud Industry

With the Global Data Protection Regulation (GDPR) on the horizon, businesses operating in the EU will have to think, more than before, about compliance.The GDPR causes uncertainty within company’s management, because they are often unclear about whether they store personal data and, if so, where these are. GDPR is a legislative challenge that business must have to overcome.

 

May 25, 2018 is over, the EU General Data Protection Regulation is in highlight and companies are reworking their strategies towards its adoption. Any company that collects or processes personal data of EU citizens must comply with the obligations of the new law. Many still encounter new stumbling blocks on their way to conformity.

 

Here below are four simple steps for companies to consider all personal data collections, regardless of platform.

 

 

  1. Set up automatic data discovery in local and cloud environments

Without comprehensive data inventory, GDPR compliance is virtually impossible. Automated discovery solutions can help keep your collections of data up-to-date – especially when adding or removing new systems on-premise or in the cloud. They search thousands of applications. They are able to identify SaaS solutions that store or process personal information. They can filter the data and are able to generate specific views depending on what the company is most interested in. This is how companies make sure that nothing goes wrong.

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  1. Determine what data is shared with suppliers and how they handle it

One of the most complex requirements of the GDPR: organizations are not only responsible for appropriate security measures in their own environment. You must also ensure that your customers’ personal information is safe from vendors with whom they share it. Many people in charge share personal information about SaaS applications with processors. Only those who know their SaaS data accurately can identify the providers who process this personal data – and fulfill their responsibilities adequately.

 

  1. Categorize personal information and know where it is

Many GDPR processes require companies to know not only where personal data is located, but also what kind of personal information it is. For example, to implement the “right to be forgotten”, companies must be able to locate the subject’s personal data and then filter out which data needs to be deleted and which data must be retained.

 

  1. Regulate access to personal data

With localized databases, most businesses do a good job of maintaining access controls. However, as with automatic detection solutions, these controls are eliminated in SaaS-based personal data collections. Many companies rely on simplified access control hierarchies here. However, these provide users with far-reaching insights into their personal data. Making access to all personal data, including the SaaS-based repositories, visible and controllable is an important step towards GDPR compliance.

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