Even till a couple of years ago, Big Data was being looked into a great deal of industries but Security, yet it seems one of the most obvious direction to go. That said, it wouldn't be unreasonable to say that most of the security vendors out there are still very fond of the reactive tools to defend and remedy the infected devices rather than proactive solutions. There is now a very much growing shift away from post infection tools; which still have a huge role to play, with a great deal of understanding of big data analytics based cloud hosted security.
With this shift taking place, large service providers must research in depth defense capabilities and provide a comprehensive workaround, unlike one solution. With Big Data Analytics playing a very big part in the progression of the IT, here is how it can address the challenges put forth by IT security.
Threat Prediction
These analytics are the vehicle behind the increasing ability of systems for predictive threat management. Specialists believe that identifying the source of an active attack by tracking the place from where the attacker has sourced the targeted email addresses, which makes it possible to identify other probable victims and prevent further attacks.
It can also provide with some plugs to stop some threats which exist at the end-user's node, it still heavily exists in the dark ages where the simple processes such as a 2factor authentication much disdained. Consumer routers and other connected devices are evolving into a major issue. While most of them have extremely poorly written security algorithms others are way too difficult to update. It is very easy to highjack the DNS which can be used to attack the business. The security services of the DNS allow the IP to identify specific routers, and do whatever with them, even shut it down if required.
With the help of Big Data Analytics, the direction of the traffic can be identified and can be redirected to the right recipient. Although it may seem the security guy look like the guy in the middle, but thanks to the results, you can consider him to be beneficial.
With basic security models today, flawed beyond repair intelligent application of the result of these analytics can give birth to a great deal of data sets which can be made available to the businesses out there as SaaS, which in turn will open up development related to proactive security situation. This has a great deal of potential in the IoT marketplace as well.
Conclusion
Not only does this approach show the trend inching away from reactive to a proactive defense strategy, also showing how disregarding Big Data Analytics is the very mistake that has brought the security front to this point. The pro of this approach is that many business managers are equipped with the apt predictive capabilities, allowing them to latch on to the things which provide with the desired result. The fact that this is real time analytics happening on Big Data is totally irrelevant here.
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