How your IT department is breaking data protection laws

Grid-tools a dream in a compliance nightmare

3 Big data security analytics techniques

Comment Now, here’s a dirty little secret that most of the people that concern themselves with corporate governance and compliance don’t know about.

Leaving aside very small print that may have been inserted into documents that no-one ever reads, the data protection laws mean that personal information may only be used for explicit purposes that support the reasons for which the information was gathered in the first place. For example, if I buy books from Amazon.com, Amazon is entitled to store that information, analyse my reading preferences and use the results to send me targeted offers. However, it is not, without my explicit consent, allowed to pass that information on to third parties for other purposes. Nor is it allowed to use that information in other ways or allows other people to view that data, even within Amazon.

Let’s change the subject. Companies like Amazon are constantly developing new and/or improved applications to better serve both their customer bases and their own internal purposes. This involves an often complex and lengthy development process. Further, it involves the testing of those applications before they go into production so they're certain to work properly. There are a variety of such tests. Some, for example, test the application logic: if I add "a" to "b" do I get "c" as I was expecting, or do I get "d"? Other tests, however, simulate a live environment, and this is where we get back to the data protection act.

If you are simulating a live environment, how does the IT department do that? The simple answer is that it grabs a bunch of data (technically, a sample) from its production database and runs that through the testing process. This isn’t an issue if the application is concerned with stock control but it is an issue if the application deals with individuals, as in a consumer sales application or a human resources application. In these cases, unless you have formal consent from the people whose data you are using, then simply sampling the production system for test data is illegal: you are using the data for purposes for which it was not provided and you are making that information available to people not authorised to see it.

Okay, if you’re a compliance officer, things aren’t quite as bad they seem. Not quite as bad. Most IT departments know that this data can't be used (though I expect some ignore this). It therefore has to be "scrubbed". What this means is that identifying characteristics have to be removed from the data so that it is legal to use it. However, the process of scrubbing is lengthy, complex and expensive — it can often involve many days of consultancy — as a result of which test data is often only partially scrubbed (which means that it is still illegal) at best.

I am pleased to say, however, that help is at hand. Grid-tools has developed a product called DataMaker that generates anonymised test data from the production database (as opposed to the use of test scripts, which is the traditional approach) in order to populate the test environment. You won’t find anything about the product on the company's website, or any of its other products if it comes to that, but I can tell you that the product is currently installed in its first customer site, which is inside a major UK government department that cannot afford to be seen to flout the data protection laws. If you have similar concerns, you could do worse than contact Grid-tools to find out more.

Copyright © 2006, IT-Analysis.com

3 Big data security analytics techniques


Mobile application security study
Download this report to see the alarming realities regarding the sheer number of applications vulnerable to attack, as well as the most common and easily addressable vulnerability errors.
3 Big data security analytics techniques
Applying these Big Data security analytics techniques can help you make your business safer by detecting attacks early, before significant damage is done.
The benefits of software based PBX
Why you should break free from your proprietary PBX and how to leverage your existing server hardware.
Securing web applications made simple and scalable
In this whitepaper learn how automated security testing can provide a simple and scalable way to protect your web applications.
Combat fraud and increase customer satisfaction
Based on their experience using HP ArcSight Enterprise Security Manager for IT security operations, Finansbank moved to HP ArcSight ESM for fraud management.