DLP: AI-Based Approach

DLP, or Data Loss Prevention, is a proactive approach and set of technologies designed to safeguard sensitive information from unauthorized access, sharing, or theft within an organization. Its primary goal is to prevent data breaches and leaks by monitoring, detecting, and controlling the flow of data across networks, endpoints, and storage systems.

DLP solutions employ a variety of techniques to achieve their objectives:

6 Data Loss Prevention Methods for Cloud Apps

Companies and organizations have been using a variety of data loss prevention methods over the decades to protect important and sensitive information from being lost or stolen. These methods took on an entirely new life when the use of computers, and soon thereafter, the Internet became mainstream. Now, the migration to cloud computing is creating a new need to reinvent how to prevent data loss.

What is data loss prevention? Broadly speaking, it's simply a strategy for ensuring sensitive and protected information does not leave the company network. But today, when people talk about data loss prevention (or DLP) they're often talking about the tools, software, and/or services used to enable it. But, the data loss prevention methods you deploy must include both human elements, such as training and reinforcement, as well as the processes and tools used.