More and more people are becoming digital. Social media management platform Hootsuite estimated the number of mobile, internet, and (mobile) social media users is being substantial: 4.388 billion internet users, 5.112 billion unique mobile users, 3.484 billion active social media users, 3.256 billion mobile social media users.
Every day people are online, leaving digital footprints that contribute to a growing portrait of who they are. These profiles can be used in many ways. Companies use them to create customer profiles and to understand their behaviors, tastes, and preferences. Enterprises in the financial sector, such as banks, as well as law enforcement, also use digital footprints for assessing risks and threats, and to identify threat actors, fraudsters, and criminals.
In order to build such profiles, vast amounts of data from various social networks and web applications must be extracted from surface, deep, and dark web sources, which is complicated and time-consuming. Only with an automated, AI-powered WEBINT solution is it possible to extract and analyze profiling data derived from their online presence.
In this white paper, you will learn more about:
• Digital footprints
• Building profiles
• WEBINT for de-anonymizing profiles
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