While businesses and services are expanding into cyberspace with minimum improvement in the traditional cybersecurity techniques, cybercriminals are revolutionizing cyber-attacks with artificial intelligence. Cyber threats are getting novel by the day and leaving under-resourced security operations analysts only to catch up. According to Sridhar Muppidi, Technology Security Chief at IBM, he alluded that security professionals are inundated with too many things to do, too much data, very little time, and too few skills. It is as though cybersecurity professionals are left to tackle ever-growing cyber-threats with their hands tied behind their backs while the threats continuously outsmart the traditional security techniques.

However, machine learning can curate threat intelligence from millions of data emanating from research papers and new stories. This can help provide rapid insights that will reduce response time. After being trained with the right data—tested for bias and robust in taking on novel cyber-threats—artificial intelligence through machine learning can provide accuracy in threat detection, accelerate cyber-attack investigation and automate mitigation response. Machine learning based on behavioral biometrics will help evaluate the risk of a specific user for a specific session.