GDPR: CAN AUTOMATION ALLOW CONTINOUS COMPLIANCE?
- amalabdreamz
- Nov 14, 2018
- 3 min read
Introduction
When we reached an important milestone in our smart GDPR product (contact me for more information), I thought it was worth sharing some interesting reflections I had along the way, all of which originated from a very simple question:
Can automation allow companies to manage the continuous compliance of GDPR?

This simple question opened several thought processes:
Do we understand the regulation?
Where are the areas that, potentially, will require a significant investment, both before Day 1 and from Day 2 onwards?
What could / should be the combination of technologies to allow continuous compliance?
What is the scope of automation?
Armed with these questions, I began to interact with some of the largest companies in the UK around their thinking. That's when things got interesting.
Clear as mud
Throughout the current GDPR guide, there are many gray areas, such as the depth with which we have to scan all our data lakes to find relevant data (for example, file name versus file content). And then, once we've identified the data, how should we format it to make sure it's useful / readable and that unrelated confidential information (in the case of two-person personal identification information [PID] appears on a thread from the email)? ? ? It's written? - Is it okay to give someone a screenshot of your personal information, or should it be organized in a structured format?
It is this vagueness that has created a very polarized thought, and a more worrisome late action plan, among many business leaders with whom I am talking about its GDPR approach.
Here are some highlights from my initial conversations:
• The Trojan Horse GDPR: many industry consultants and commentators are very fearful in the market for the impact of non-compliance instead of helping organizations understand the true nature of regulation: data management. In contrast to the increase around Y2K, GDPR is significantly more complex than Y2K since the data is not a technology / people / system problem. It's the three of them, at the same time.
• Finding an understanding of the nature of the data (how to access, store, manipulate and its general purpose) should be the critical starting point for all business leaders. The GDPR is an important revision of the old Data Protection Law, which aims to return more power to data owners (customers, employees) and force companies to take more responsibility for the implications of ownership of the data.
• The Trojan Horse GDPR is like once regulation is established, a series of additional and stricter regulations on data management, security and ownership (such as the Cybersecurity Policy, to be published this year) will begin to be implemented like Disney's. For Star Wars, we must wait and prepare for an exciting addition to the data franchise each year.
• Extreme thinking: the GDPR exerts additional pressure on companies, beyond the scope of the current Data Protection Act, to ensure that data is understood (which requires that systems and data processing activities be assigned) ) at the granular level). managed (a combination of people and technology is required to access, retrieve, manipulate data) and the data is secure (which requires more transparency in terms of data breaches and better data encryption). data).
• Companies should not only understand these three elements, they should also make sure that their customers and employees also understand how their data is processed.
It is this additional pressure that has divided (almost polarizing) many companies with which I am speaking in two fields:
1. Some organizations have spent the last 12 months actively understanding the GDPR, agreeing on an action plan (on the very specific and clear aspects of regulation) and began to implement some of the changes, especially in places like the front interfaces. customers. , such as websites (which ask customers to opt for communications, anonymize certain activities online / offline).
2. At the other end of the spectrum, there are organizations that see regulation as a burden and an obstacle in a very turbulent economic and political environment. A common comment I received (on more than one occasion) was "we will wait until we are audited before investing in the regulation".
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