Knowledge-based authentication (often abbreviated as KBA) is a mechanism used for identity verification that relies on questions, presented to the user, that only the user in question should know.
Typically several questions are presented often on topics such as mortgage information (home addresses, banks, amount, refinance dates), vehicle information (make, model, loan amounts) or other personal details that only the user would have access to. In the early years of the internet, KBA was an effective mechanism for identity verification, but as more and more of our personal information is gathered, aggregated, and made available online, the population of those who have the requisite ‘knowledge’ to successfully answer these questions on behalf of anyone has become unacceptably broad. The Turn identity database engine uses dozens of proprietary algorithms and machine learning techniques to automate the data capture, compilation, and validation of an identity across 100+ billion records and thousands of databases in under ten seconds. Scary? Perhaps, but this is the increasing reality in our digital age. It requires new ways of thinking about identity, what comprises it, and how we verify it.