Big data analytics professionals are making use of preventative technologies, as well as managed detection and response services. Companies use these to deal with the constantly evolving, sophisticated cyberthreats caused by the increased amounts of data being generated on a daily basis.
Technological innovation has taken the economy by storm, and every progressive business must embrace it in order to survive the cutthroat capitalist market economy of the 21st century. With mobile devices, tablets and wearable technology collecting vast amounts of data about their users, privacy and security have undoubtedly become primary concerns.
THE ROLE OF BIG DATA AND ANALYTICS IN CYBERSECURITY
The use of big data analytics and machine learning enables a business to do a deep analysis of the information collected. Ultimately, this gives hints of a potential threat to the integrity of the company. A business can create baselines based on statistical data that highlight what is normal and what is not.
With such analysis, entrepreneurs and business managers can know when there is a deviation from the norm using the data collected. New statistical and predictive models and possibilities can also be created using this historical data by the use of artificial intelligence and machine learning.
This article originally appeared on dataconomy.com. To read the full article, click here.