Bringing Clarity to Really Really Big Data: A Case for AI and Machine Learning to Help Crunch and Protect Our Data

As counsellors and consultants, replicating the "scale" issue as it relates to the respective data, information, and network security problems is a challenge. Unfortunately, "layperson" directors and officers of public companies, along with executives in government, tend to view "scale" (as it pertains to data protection) as a bad thing (and even a scary thing). Part of the challenge here is that there are few practical ways to explain to those holding these positions that an organization's security operations center may receive upwards of one million "incidents "every day and, at the same time, adequately deal with, and investigate, the potential peril inherent in such incidents, and reasonably assure that not even one of these small incidents slips between the cracks.