Malware and cyber attacks are one of the major concerns among companies today. With the explosion of big data, it is becoming increasingly difficult for companies to protect, not only their infrastructure and data, but also their brand value from cyber threats.
A company's preparedness for handling IT security threats can be measured by strong defense measures and swift containment of suspicious or potentially malicious intrusions into network traffic. The ability of the company to deal with cyber risks can have a direct impact on the integrity, and eventually the success of the company. Lack of such an understanding may lead to dire consequences including, but not limited to, theft of intellectual property and assets, loss of useful and confidential information, wrongful disclosure of important data etc.
Companies are therefore looking to more platforms that provide comprehensive tools for mining data from all sources (not just data from their own network) and using it to predict the best defense measures against impending threats. Cyber attacks, including malware and advanced persistent threats, are known to use special techniques and algorithms for infiltrating into company databases. Companies require additional resources that help them analyze incoming traffic in their networks and detect the potentially malicious and hazardous ones.
Big Data analytics may now spell the end of all woes of companies by providing advanced warnings about prospective attacks, more precise predictions and suitable mitigation techniques. Big Data frameworks allow for analysis of massive amounts of data, and running algorithms that help visualize the potential cyber attacks. Technologies like Hadoop make it possible for Companies to handle threats at both the levels - physical threats, and cyber threats using a single framework rather than having two different tool sets.
Companies have started adopting big data analytics to help solve pressing issues pertaining to cyber security. More and more organisations are now realizing the importance of frameworks like Hadoop, Hortonworks, Caldera etc. in protecting their data, network and infrastructure from hackers and cyber criminals.
As a result, customers expect frameworks to be fully integrated providing with additional features like 3-D visualisation and graphics dealing with physical and cyber threats. However, companies can seek to get the most of the current technology even without the use of graphical depiction of analysis and subsequent results. By seeking more responsive solutions, security teams of companies are enabled to become more proactive in the security measures undertaken by them through improved response time, more comprehensive data investigation and increased defensive measures.
Security teams of companies and organisations need to incorporate the results of traditional or existing security systems into the analytics to get better and more accurate response. Though firewall systems, intrusion detection systems etc. are required, more additional security provided by big data analytics will be helpful in case the hackers penetrate through traditional defense systems.
Also, the older rule-based security systems worked on limited amount of data, thus restricting themselves to signature-based malware or other cyber attacks. In such cases, big data analytics can come to the rescue by analyzing massive amounts of data, thus taking into consideration any irregularities, pointing out even the minor ones, and thereby leading to more accuracy in the results.
Big data analytics can also help a company figure out which threat is more serious, or which attack is more severe, by keeping a track of all the threats, along with their frequency of occurrence and their prospective targets.
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