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Analytics Training to Understand the Benefits of Security Analytics Tools

Author: Saajan Sharma
by Saajan Sharma
Posted: Sep 18, 2020
security analytics

We know already that the world’s response to IT management and security has reduced by 70% due to the lockdown protocols, even as IT teams continue to handle a bulk of these workflows and other key operations from their remote workplace locations. A tough operation -- but manageable provided they are using the advanced Security Analytics tools.

In this article, we will find how Analytics Training secures big corporations against cybercrimes.

Why Data Security Analytics?

Enterprise Security analytics is a savior for many organizations in this critical COVID-19 scenario where more than 90% of the companies around the world have acknowledged possible attacks or incidents targeting their IT and Networking systems. The potent attacks are increasingly targeting companies that are lagging in their digitalization efforts, putting their internet assets at risk of cyber-attacks and data thefts.

Analytics and data science sit at the core of the entire Cybersecurity concept that follows a simple chronology of insights-driven actions. This concept is based on the IPAR approach:


  1. Prevent
  2. Analyze
  3. Respond

It’s the third stage of "Analyze" that you can learn by pursuing Analytics Training in Delhi for Security tool development and management.

Security Analytics can be defined as the scientific process of acquiring and analyzing critical IT security and networking data for the detection, prevention, and reporting of threats, in order to protect and advance the recovery process based on cyber laws and governance principles

Cloud and Mobile Infrastructure Prone to Most Security Events

According to independent reports on the state of Data Security and Information Breach Crisis Management, the adoption of Cloud and Mobile applications for Departmental operations using existing IT management and networking systems has brought down more Corporate Security frameworks to the ground with no recovery chances possible.

There has been a 500% rise in the number of sophisticated attacks by cybercriminals targeting corporate networks using Dark Data, IoT hacks, and social engineering and blockchain techniques. The trace of data theft is so cleanly swept off that targets get to know of the target only after they get a billion dollar "ransomware" call or email from the perpetrators of the cybercrime.

The number one target for cybercrime in the last 3 years has been Cloud resources. Each year, billions of dollars are lost from the Cloud economy due to the security incidents.

Commonly targeted surface points in security attacks are mentioned below:

Internet Network

    Mobile device and SIM Cloning

    Business Applications, such as Cloud Communications, Email Service, SaaS for Marketing and Sales, HR Automation, and Finance Reporting tools

    Customer Data and Management platforms

Social engineering and phishing tactics have forced IT management teams to proactively enforce security incident analytics and detection tools to comb past data from users in the network and analyze how to log data pinpoints to a certain pattern in risks.

Developing Analytics Skills to Handle AI and Machine Learning Aspects of Security Framework

The latest generation of security analytics tools that have emerged in the last 3 - 4 years has shown the business owners why AI and Machine Learning development is not a thing to be ignored anymore. Enhanced by superlative Big Data Analytics capabilities, the modern day security analytics tools bring forth the power of AI-based incident reporting applications synced with the multiple automated workflows to respond to malware attacks targeting any part of the organization’s global security sites, irrespective of whether it’s under monitoring or supervision of a human manager.

The availability of machine learning component enables IT security management teams to connect the dots and "hashes" in the various events and alerts to detect threats and breaches in real-time with predictive and diagnostic intelligence using advanced Artificial Intelligence- called Augmented Intelligence.

Each time there is an attack, the IT security framework trains itself to detect the next security incident based on the likely patterns and perpetrators log data based on metadata analytics, geolocation, IP context, and Identity Management and Access Control principles.

One of the key components in this operation is "Big Data Analytics." This specialization is catching the fancy of graduates pursuing a degree in analytics training in Delhi.

Security analytics tools are available for large enterprises and organizations to incorporate threat intelligence and anti-hacking operations carried out from within and outside the organizations. In simple classification, any security management operation can be understood by adopting a data-driven approach to build, adopt, deploy, and fine tune existing security protocols.

About the Author

Saajan Sharma likes to read and write actively on upcoming HR trends and how HR is reshaping the business landscape. He likes to help businesses stay informed and up to date with established and emerging technologies like Payroll Software, SAP, etc.

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Author: Saajan Sharma

Saajan Sharma

Member since: Jan 17, 2020
Published articles: 13

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