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Is Big Data Analytics The Ultimate Answer to Data Security?

Published on 26 September 14
Is Big Data Analytics The Ultimate Answer to Data Security? - Image 1

The ability of reading within colossal amounts of information and obtaining intelligence from it is intrinsically going to change the way security is perceived in data security.

With the rise of technology, newer areas within security risk are emerging such as effective ways of storing data securely in the cloud. In the same breath, the ability of tracking all aspects of data from the number of attempts an individual tries to login to how important information files are being accessed.

Analysing and crunching data from the innumerable arrangements within an organisation could give new perception and understanding into how one can defend sensitive information and even anticipate a future cyber-attack. However a recent study points out that a large number of firms will have to seek professional help outside their organisation in order to reap the benefits of analysing the data.

It is predicted that in the coming years, tools surrounding data analytics will progress rapidly while risk appraisals and threat discovery will be automatized to the juncture that security response teams will be able to forecast an event before it takes place and take requisite action to foil attacks.

According to estimates by the Interpol, the cost of cyber-criminal activity worldwide in 2012 and 2013 alone was approximately $ 10 billion, while over $ 1 trillion worth of intellectual property was robbed in corporate cyber infiltration. A cyber-crime report by leading security firm, Norton revealed that the direct costs of global consumer crime were calculated at hundred and hundred and $ 12 billion. In addition, the indirect expenditures including the efforts taken to combat cybercrime and time lost during the process added up to $ 275 billion, which points out the need for innovative cyber security.

While expounding the benefits that big data analytics brings in, concerns were also raised about the privacy of analysing such data. It is important that privacy and security go hand-in-hand in order to bring about effective results.

According to the Lockheed Martin Kill Chain methodology, the fundamental goal of implementing the methodology is to study and dissect incessant encroachments for patterns and directions and then employing this information to thwart offensives or even forecast assaults. Causing a rift in the series even in one area shows that you may have been victorious in blocking that one assault; nevertheless to be veritably irrepressible you really need to breach the series in various areas.

In almost all organisations, protecting big data and scrutinising it, is executed by a vast number of trained personnel who are dependent upon point tools and instructional or labour intensive procedures. A research report published by ESG research revealed that over 45% of enterprise organizations are of the opinion that their security data accumulation, refinement and examination certify as big data today. Unfortunately, it is not just good enough to hamper our antagonists. Every business requires real-time security measures and circumstantial cognizance to give them clarity into their security position at all strata of their current technology structure and throughout their establishment.

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  1. 26 September 14

    I agree that Big Data Analytics is “The Ultimate Answer to Data Security”, but I think that we cannot wait for the ultimate answer.

    We are currently lacking analytic tools that can make effective use of Big Data. We have a long way to go to build these tools.

    Currently less than 14% of breaches are detected by internal security tools according to the annual international breach investigations report by Verizon. Detection by external third party entities unfortunately increased from approximately 10% to 25% during the last three years. Specifically notification by law enforcement increased from around 25% to 33% during the last three years.

    Unfortunately, current approaches with monitoring and intrusion detection products can't tell you what normal looks like in your own systems.

    Advancements in security analytics may help over time, but we don't have time to wait, so we need to protect our sensitive data itself. I think that the open framework for a data lake from RSA and partners is an interesting long term solution.

    I think we urgently need to secure the sensitive data in the entire data flow with modern approaches.

    Studies have shown that users of data tokenization experience up to 50 % fewer security-related incidents (e.g. unauthorized access, data loss, or data exposure) than non-users.

    Ulf Mattsson, CTO Protegrity

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