Leverage Machine Learning to Detect Insider Threats

For an insider threat program to benefit from ML algorithms, first it must train and implement them. To succeed, machine learning algorithms must be trained against pre-collected, validated data sets. Collection, validation, and training all tend to be difficult and time-consuming. This is one of many areas where the benefits of data mesh come into play. Today, data collection happens continuously and at high volumes across a vast number of sources which must be governed and exposed to extract value.