The many paths to data protection

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Getting from point A to point B by car always seems like a pretty easy proposition, at least until you’re behind the wheel and on the move. On a map, find the major road or roads with the greatest bandwidth capacity, which in the United States typically means a freeway or freeway, and simply take that road. If a route that meets these criteria doesn’t exist, then tinker with a bunch of them following this general pattern (bigger roads with the greatest capacity), and you’re still good, aren’t you?

This whole methodology assumes, of course, that you want to get straight from point A to point B in the fastest possible way without considering other conditions or factors, such as scenery along the way, points of interest you might want to check out. or abnormalities such as accidents or unusual / unexpected traffic patterns requiring a course change. Once you start to consider more than the criteria of the shortest and fastest route, you will find that you can get from point A to point B in several ways. It all depends on what you are really looking for.

The same goes for data protection. Each company has sensitive data that it does not wish to expose or make public, for various reasons (legal, regulatory, ethical, etc.). This data in its natural and usable state is readable, understandable and potentially exploitable plain text. Let us call this point A for such data. Point B is therefore a secure and protected state in which the information is not fully readable except by authorized users, is at least partially if not completely incomprehensible, and hopefully cannot be processed by the wrong people who hold it. get and want to use them. this for nefarious purposes. For most businesses, they want to move their data from point A to point B in the fastest and easiest way possible. However, what’s the fastest way, and does that rule out other factors along the way such as internal usability, reversibility, and cost efficiency?

We had an excellent Ebook available for several years which is still relevant today and illustrates this concept of the multiple avenues of data protection. If you haven’t viewed it yet, this might be a good time to access it. Analysts like Gartner are also doing a tremendous amount of research in the more focused area of ​​data protection methods (data masking, encryption, tokenization, and format-preserving encryption) and their connection to the burgeoning computer security market. next-generation data. which means the way data security platforms are starting to aggregate many capabilities outside of data protection (and even several types of data protection as well) into comprehensive data security platforms. We have recently made available one of the Gartner’s Latest Reports on Data Security Platform Market Trends. This one is also worth reading if you find yourself with a bit of downtime over the next few weeks and want to catch up on cybersecurity research.

Our enterprise data security platform certainly measures well in its evolutionary trajectory with what Gartner sees happening in the marketplace. When it comes to data protection methods, we offer several routes from A to point B, depending on the data to be protected, how that data will be handled internally (and even externally) within the organization and other factors influencing the organization (again, things like regulatory concerns or operational matters). Sometimes what is needed is irreversible data masking. At other times, format-preserving tokenization is more appropriate. The point is, we continue to provide many different routes, not just one, although we continue to design new ones, such as a recently announced approach to format-preserving encryption. Sometimes the right question to ask when getting behind the wheel is not: how do I get there from here? Perhaps the most relevant question is, why do I want to get there from here? The same is of course true for data protection. The successful trip in either case depends on the most suitable route for your needs.



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