“FortiDLP integrates with the Fortinet Security Fabric and complements the existing FortiGuard Data Loss Prevention (DLP) Service,” Shah said. “Fortinet customers can implement consistent data identification policies across endpoint, network and cloud.”  

How FortiDLP identifies sensitive data

A common challenge with DLP technologies is the process of first identifying and determining what data needs to be protected.

FortiDLP automatically classifies IP and sensitive data at the point of access, and it tracks and controls the egress of that data. FortiDLP integrates a number of approaches to speed up onboarding, including Secure Data Flow that identifies sensitive data at the point of origin and is able to log all data manipulations from that point.  

Shah explained that FortiDLP does not require pre-work such as the discovery, classification and labeling of data, or the creation of policies, prior to turn-up of data protection.

“These activities are inherent in legacy DLP solutions and result in considerably long time-to-protection periods of months to even years before effective data protection can be realized, and considerable ongoing support costs,” he said. “Because FortiDLP is cloud-native/SaaS and agent-based, the solution can be turned up in minutes to provide immediate visibility into business data flows, and initiate the baselining of user data.”

How AI fits into FortiDLP

Artificial Intelligence (AI) fits into FortiDLP in a number of ways.