Machine Learning Proves Key to Privileged Account Protection

Behavioral analytics is quickly becoming the cornerstone of most every Infosec technology. However, it takes a lot more than simply analyzing user activity with rules and statistics, it takes applying ML (Machine Learning) to access and activity data, as well as employing AI (Artificial Intelligence) to reduce false positives and accurately risk score. Two critical capabilities that a multitude of security vendors have yet to address in their products to enable automated risk response. Those lacking machine-based cognitive abilities have come to rely on static pattern definitions, signatures and policies for a legacy world of known good and bad. Today, we must assume compromise and assess risk, even more importantly for privileged accounts with the access keys to IT environments.