Top 10 Trends in Cybersecurity, 2019: User Experience and Machine Learning

Traders Magazine Online News, January 11, 2019

Alissa Knight

In 2018, cybersecurity breaches largely included username and password leaks along with massive spills of consumers’ personally identifiable information, and they could have been prevented had the companies implemented multifactor authentication. But companies have been slow to adopt multifactor authentication solutions due to fears that increased security will come at the expense of increased friction for end users.

And while maturity in machine learning and Bayesian inference made network and endpoint security controls smarter, chief information security officers perceived a lack of enterprise-readiness for machine-learning-powered solutions. But this has changed going into 2019. CISOs will be reducing user friction in authentication, improving the efficacy of their security controls through machine learning, and orchestrating and automating their responses to the growing number of security events and alarms in their environment.

 

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