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How Can Big Data Analytics Strengthen Cyber Security Capabilities?

Published on 29 June 18
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We all know that data is incredibly important for every business but without proper analysis, it will be completely useless. Every day, a huge volume of data is collected and processed by companies with the aim to transform their data into usable information. As an invaluable asset of the company, data needs to be protected from unauthorized access.

To ensure this, big data analytics professionals make use of preventative technologies along with managed detection & response services. Organizations rely on Big Data Solutions to protect the constantly evolving cyber threats associated with the increasing amount of data generated. Let’s find out how analytics of data can help in boosting cybersecurity.

Significance of Big Data & Analytics in Cybersecurity

With the escalating growth of smart devices, tablets and wearables that collects sensitive data about their users, the main concern lies in the privacy and security of data. Using Machine learning and big data analytics, businesses can perform deep analysis of all the business data collected, which helps in detecting possible threats to the company’s integrity.

Here’s how analysis can help in promoting cybersecurity:

a. Baselines Using Statistical Data

Organizations can make use of baselines based on statistical data that will help in highlighting what is normal and what is not. After such analysis, it will be easy to detect if there is any deviation from the norm using the data collected. Hence, new predictive models can be employed using AI and Machine learning.

b. Monitor Employee Activity

Using an employee system monitoring system that depends on big data analytics, the HR manager of the company can analyze the behavioral characteristic of any employee. To prevent any security threats, staffs can be given limited access to sensitive data by assigning different login for each of them depending on their job profile levels.

c. Intrusion Detection System

Another most important factor is to monitor all the traffic coming through the company’s network that may contain malicious data. For this, Intrusion Detection System (IDS) based on big data can be used to comprehend business requirements & make informed decisions accordingly.

Closing Statement

Though the implementation of big data analytics and machine learning can be very helpful in protecting cyberthreats, companies must be able to build robust defense mechanisms that can withstand larger cyber-attacks as well. Ensure that your company’s data is safe & protected from unauthorized access to avoid any big mishaps with the help of expert Cyber Security Services. Get in touch with the renowned company to combat any cyber threats in future.













We all know that data is incredibly important for every business but without proper analysis, it will be completely useless. Every day, a huge volume of data is collected and processed by companies with the aim to transform their data into usable information. As an invaluable asset of the company, data needs to be protected from unauthorized access.





To ensure this, big data analytics professionals make use of preventative technologies along with managed detection & response services. Organizations rely on Big Data Solutions to protect the constantly evolving cyber threats associated with the increasing amount of data generated. Let’s find out how analytics of data can help in boosting cybersecurity.




Significance of Big Data & Analytics in Cybersecurity




With the escalating growth of smart devices, tablets and wearables that collects sensitive data about their users, the main concern lies in the privacy and security of data. Using Machine learning and big data analytics, businesses can perform deep analysis of all the business data collected, which helps in detecting possible threats to the company’s integrity.




Here’s how analysis can help in promoting cybersecurity:




a. Baselines Using Statistical Data




Organizations can make use of baselines based on statistical data that will help in highlighting what is normal and what is not. After such analysis, it will be easy to detect if there is any deviation from the norm using the data collected. Hence, new predictive models can be employed using AI and Machine learning.




b. Monitor Employee Activity




Using an employee system monitoring system that depends on big data analytics, the HR manager of the company can analyze the behavioral characteristic of any employee. To prevent any security threats, staffs can be given limited access to sensitive data by assigning different login for each of them depending on their job profile levels.




c. Intrusion Detection System




Another most important factor is to monitor all the traffic coming through the company’s network that may contain malicious data. For this, Intrusion Detection System (IDS) based on big data can be used to comprehend business requirements & make informed decisions accordingly.




Closing Statement




Though the implementation of big data analytics and machine learning can be very helpful in protecting cyberthreats, companies must be able to build robust defense mechanisms that can withstand larger cyber-attacks as well. Ensure that your company’s data is safe & protected from unauthorized access to avoid any big mishaps with the help of expert Cyber Security Services. Get in touch with the renowned company to combat any cyber threats in future.

This blog is listed under Data & Information Management and IT Security & Architecture Community

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  1. 29 June 18
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