Big Data & Changing Scenario
Going forward, big data will have an impact that will change most of the product categories in the field of computer security. In an article titled, ‘Network Security in Big Data: Tools and Techniques’, Pushpak Verma, Tej Bahadur Chandra, and A.K. Dwivedi include ‘solutions, network monitoring, authentication and authorization of users, identity management fraud detection, and systems of governance, risk and compliance’ in the categories. Moving on, they said, “Big data will also change the nature of the security controls as conventional firewalls, anti-malware and data loss prevention. In the coming years, the tools of data analysis will evolve further to enable a number of advanced predictive capabilities and automated controls in real time.”
Gartner feels organizations should align the security capabilities in a holistic cyber security strategy tailored to the threats and the risks specific to the demands of the organization. Big data requires the collection of information from various sources and in different formats. A logical target is to have a single architecture to collect, index, normalize, analyze and share all the information. Organization should look to profile accounts, users, or, other entities, and look for anomalous transactions against those profiles.
The Way Forward
Organizations have to make continued investments in computer security and data security products that are flexible, dynamic and heuristic. Static signature-based tools just do not have the bandwidth to deal with new threats.
Though security solutions seem to well prepared, internal teams within organizations are still lethargic. They have not updated their knowledge on either modern computing techniques, the tools, nor the enormity of something like Big Data and Block Chain. Data scientists with specialization in security are rare and in high demand.
As a result, it is likely that many organizations will turn to external partners to compensate for the lack of internal skills.
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