Big Data Security Analytics: Shield against Cyber Attacks
Friday, March 31, 2017 4:08:53 PM

A non-disputed fact of today’s tech-embracing world is that with the evolution of Big Data, the number and kind of Cyber Security attacks will increase on businesses. This concern isn’t just making the businesses to invest heavily in creating a stronger fence but dedicate entire units who function 24/7 to curb the menace of hackers. Hence, we have decided in this post, to not only diagnose the disease but also prescribe the medicine to it in the form of Big Data Security Analytics.

The rising heat of Cyber-Security-Threats

The world of gleaming corporates has more than just made the move to digital. They have transported the entire framework of their business on cloud & mobile services. From conventional protections tools to keeping a 24/7 vigil against any malicious threat, the Corporate Networks have had very less time to establish and consolidate their Cyber Security Wings. Malware, Phishing, Denial-of-Service Attacks (DOS) are the starters, on the list of hackers. It could get as sophisticated as Man-In-the-Middle (MITM), Drive by Downloads & planting Rogue Soft wares on target web pages.

Such threats to online websites are what Cancer is to a human body. Hence, such a dire condition of security demands superlative protective measures.

Defining your Cyber Security Ethos

The scale and kind of business that a company does, has a direct correlation with the kind of Cyber Security Tools that one deploys. Small & Mid-Sized companies go the extra mile in deploying virtual machines that offer low overhead implementations. Machine learning algorithms and Key Performance Indicators offer, further embolden the websites’ resilience. When it comes to large enterprises, we see that they use cases to bolster their cyber metal. Juniper Networks JSA Series Secure Analytics, for instance, allows the security expanse to match Global Enterprise Demands. The EMC RSA Security Analytics could be used for the same.

The Role of Big Data

Big Data is synonymous with real-time analytics. The detection must be one step ahead to quell the danger from malware. Following this, the algorithm should report complex analysis immediately. The program being used, should simultaneously work beyond rule-based methodologies and process large chunks data (both current and archaic). For e.g., Sophos, a hardware & software company, is now securing the online frontiers of approx. 100 million people globally using malware research, macro trend analysis & detection performances.

What does the Big Data Inventory include?

The Security Industry has reacted to these challenges with a new generation of security analytics solutions. They collect, store & analyze data across the organization. Supplemented by additional context data and external threat intelligence, this data is then analyzed using various computational algorithms so to detect peculiarities & hence identify potential malicious activities. Unlike traditional SIEM solutions, such tools operate in near real time and generate a small number of security alerts ranked by severity according to a risk model. These alerts are augmented with additional forensic insights, due to which they are able to greatly streamline a security analyst’s job.

Popular Big Data Tools in the market

Business intelligent algorithms that could only be afforded by the big boys of Corporate houses are now available to small & medium enterprises at affordable costs. For the people who have only been keeping with the news vaguely, this was made possible because of Big Data Analytics alone. Open source tools such as Apache Hadoop, Hadoop MapReduce & GridGain continue to hedge such enterprises from mal-intent threads/soft wares.


Predicting suspicious activity in almost real-time is why Big Data is counted so much upon. Combining that with its algorithmic security intelligence which exposes crucial information about the latest loop-holes in the firewall makes it the only protective shield, required against advanced cyber-attacks on the network. Harboring massive amounts of historical data makes it easier to initially streamline with the normal patterns of activity in a network. Existing solutions for Big Data, are already capable of automated calibration with very little input required from administrators.

Big Data Analysts: The Gen-Next Bosses

The security analytics market size is expected to expand from USD $2.1 Billion to USD $7.1 Billion within a time period of 2015-2020. If that wasn’t good enough, salaries for Big Data Engineers, the highest title in the data field, is expected to grow at 6.4% in 2017. Note that, their current median salaries range from $135,000 - $196,000. Still doesn’t quench your thirst, perhaps giving Google a search on “Big Data Certifications Programs Online” or a “Data Analytics Certifications” would do you a great favor in finding the appropriate institution & course suited to your potential.

Sow the Seeds for a future filled with rewarding opportunities & an enviable earning potential.