SAS On Machine Learning's Role In Cybersecurity

Artificial intelligence and machine learning are all the rage across a bevy of industries but in the world of cybersecurity advanced analytics capabilities are becoming a necessity. As companies generate more data it's becoming impossible for a typical cybersecurity team to monitor all the potential events and that is where machine learning comes in. Applying it across the cybersecurity environment within a company can create more efficiency and help to facilitate and aid those tasked with protecting data. "Cybersecurity is a very mature profession that has been around for several decades with the traditional approach rules-based and focused on creating barriers to come into the network," said Scott Mongeau, Global Senior Business Solutions Manager at SAS, the Cary, North Carolina software company. "In the reality that has emerged in the last three to five years that model no longer exists because of cellphones, smartphones, virtual devices, and smart TVs. They are all embedded computers that connect and share data. There is increasingly no definable'castle' to effectively put a moat around."