techbullion.com

Countdown to Compliance: GDPR Requirements, Timeline and Actions Perspectives from the Experts

By Angela Scott-Briggs·Published May 16, 2018·Big Data

With only weeks left to meet the European Union’s General Data Protection Regulation (GDPR) compliance deadline, the countdown is not only on, it is in the final stages. The GDPR, which goes into effect on May 25th of this year, represents the most significant change to European privacy laws in the last two decades. Organizations should be well underway with their GDPR efforts by now, and have a clear sense of timing and remaining actions for successfully achieving compliance.

According to Gartner: “While there are fines and reputational risks at stake, global enterprises are likely to find it more economical to broadly implement a common set of operational best practices rather than try to manage a collection of local compliance measures that are constantly changing and may lack adequate safeguards. Incorporate the highest standards of data protection globally to save money and reduce compliance risk.”

It is worth reviewing the GDPR requirements and considerations:

Approved in 2016 by the EU, the GDPR overhauls and modernizes existing data laws, many of which date to an era before widespread internet accessibility. The regulation applies to any entity that controls or processes the personal data of European Union (EU) residents, whether that entity is physically located in the EU or not. Companies found in violation of the GDPR can be fined up to four percent of their global annual revenue or 20 million Euros, whichever is higher.

Organizations seeking to meet the challenges posed by the GDPR should be aware of the key changes that will come into effect once the law is implemented. These changes include, but are not limited to, the following:

To comply before the deadline, enterprises must take a data-centric, process-oriented approach to information privacy that starts with an understanding of the organization’s data landscape. The four key steps to this approach involve:

  1. Gaining clarity on where sensitive information resides, across every file server, database, and big data repository, both on-premises and in the cloud.
  2. Implementing the appropriate sensitive data protection controls to guard against external and insider threats.
  3. Fully automating processes for sensitive data governance. With data flows now including information from file stores, databases, Hadoop environments, and the cloud, there is simply too much information to manage manually.
  4. Generating sensitive data reports continuously for data at rest and in motion. The ability to monitor sensitive data will play a key role in ensuring GDPR compliance.

Organizations should work through these four steps and identify the necessary solutions to address each requirement and deliverable. Afterward, time should be spent completing the implementations needed, and asking the following questions:

After the above review, it will be time to assess the system and do any necessary fine tuning for quality assurance.

Feeling behind schedule? Take note of an opinion piece by Paige Bartley, Senior Analys, at Ovum, a leading analyst firm covering GDPR, who observed the challenges facing the enterprise as steps are taken towards compliance.

“Many firms are realistically going to have to prioritize their GDPR compliance goals with respect to the deadline, and prioritize the data that they target for control. While this may not seem ideal in comparison to striving for full compliance, it may be more justifiable than a last-minute, uncoordinated rush to meet deadlines,” said Bartley. “The enterprise that finds itself in this position will be best served to stay the course, sticking closely to its predetermined plans, and documenting the exact steps that were taken to prioritize certain data or objectives over others. As long as good intent and systematic action can be demonstrated, the enterprise will receive a certain degree of insulation from regulatory action.”

By Manmeet Singh, Co-Founder & CEO, Dataguise