How Big Data Is Adding Value To Cyber Security
Jan 06,2017


Big data analytics as we all know holds promise for everything in our life. It is now playing active role in bettering retail and healthcare. It is being seen as a new force to add value to public administration. Big Data is being looked after for promising output across all niches. But what about cyber security? As the number of connected digital devices are proliferating at rapid speed, the cyber security must find a solution which is future ready. It is needless to say that Big Data analytics is only capable to offer a scalable and robust solution to the new challenges of data security.

Some recent statistics show how the adoption of Big Data analytics by major hosting service providers, tech companies and businesses brought positive change to the data and cyber security of US in recent times. As per a recent survey report conducted by MeriTalk 90% of respondents agree that security breaches are steadily declining while a vast majority that amounts to 84% of respondents admitted openly that they are utilising Big Data to block most of the malicious threats and security attacks. So, Big Data is really proving big for cyber security, eh?

  • Addressing The Ever Increasing Volume 

What do you think is the biggest block to security measures? Before blinking an eyelid many of us can answer. It is the ever increasing volume of interfaces and gadgets that makes security more challenging than ever. As the study revealed for most businesses and people who already embraced Big Data analytics keeping up with the volume of data still remains the challenge. While many respondents in the above mentioned study says that the sheer growth of data made them lag behind with measures, there are still too many who feel it is the lack of infrastructure and well equipped machines that played a role in not being able to unleash the Big Data advantage to deal with security threats.

  • The Solution From Big Data


Big Data analytics with actionable intelligence and sophisticated risk management tools can take this challenge of deciphering and nabbing threats in the right time. Most advanced tools by ensuring quicker access to security data and information on potential risks can just stop the threats in their track. Here the speed of access and quick actionable intelligence will play the key role as any delay would make the data irrelevant for the security measures.

Besides offering the real time benefits in dealing with security threats historical data concerning security threats and attacks and the measures taken to ban them has tremendous significance in improving the data security measures and applications. The historical data can help creating predictive and statistical models, and can initiate machine learning for quick response in future machines. Historical data analysis can give the security measures and apps better predictive abilities.

To conclude, we must say that however powerful and capable Big Data seems to be, it just cannot offer solutions to all kinds of security threats overnight. Just as the cyber security across the niches is evolving with new digital realities and variety of security breaches, Big Data analytics and security measures are also fast evolving to meet the emerging demands and potential threats.

Khushboo Jobanputra
Khushboo Jobanputra
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