DATA

DATA ANALYTICS

Data analytics is being used extensively in both business and IT capacities. Organization’s identify buying behaviors, improve agriculture, & forecast and analyze the spread of infectious diseases through data analytics.

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OVERVIEW

How it Works

There are many methods used to derive meaning including machine learning, artificial intelligence, statistical analysis, clustering and more.  Depending on what is to be achieved different methods will be leveraged.  If we need a computer to identify anomalies and continually learn about an environment, then leverage artificial intelligence.  This is being used extensively in next generation security solutions.  When we are looking for a computer to make predictions based on previous data or to cluster groups then machine learning and statistical analysis are utilized. 

WHY YOU NEED DATA ANALYTICS

The Information Age

We are in the Information Age and the ability to leverage data is what drives our economy.  By using data analytics organizations create business value and mitigate risk.  Cybersecurity risks are at an all-time-high with remote workers and rampant ransomware activities. 

(Infographic) 34 percent saw security and risk management as the number one driver of IT spending overall at their organization. -State of the CIO Study, https://www.idg.com/tools-for-marketers/2020-state-of-the-cio/ 

BENEFITS OF DATA ANALYTICS

#1

Gain valuable insights into data for both business and risk use cases 

#2

Mitigate risks associated with the threats that are making it through traditional countermeasures 

#3

Identify suspicious activities on networks, systems and with user behavior 

#4

Reduce the time it takes to identify a threat within the environment 

#5

Automate
remediation activities 

You Need to Adapt

Traditional security countermeasures no longer work.  Traditional signature-based antivirus cannot thwart attackers that are using custom malware and command & control tools.  When accounts are compromised traditional firewalls and intrusion detection systems are ineffective.  Organizations need the telemetry of what is occurring in the environment and artificial intelligence to help identify and mitigate risk

 

User Behavior Analytics (UBA) and unsupervised machine learning algorithms are being used to understand the unique characteristics of network, systems and users.  These tools allow organizations to do much more with less human resource requirements while gaining significant visibility and stopping what traditional tools do not. 

DO NOT ASSUME THE BUSINESS CHALLENGES OF TODAY ARE THE SAME AS YESTERDAY

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