Entersekt collects, curates, enriches, and analyzes hundreds of data points and signals across transactions, user behavior, context, device, location, and consortium data representing fraud indicators from billions of transactions globally. This enables us to proactively identify and address scam risk by initiating steps to validate user intent and receiving account integrity even after initial authentication.

We then determine the most effective action – silent or active – to prevent financial scams while preserving a seamless experience for legitimate users. Through simplified integration for adaptive risk intelligence and Context Aware™ Authentication to mitigate scams before they result in financial loss, this approach enables real-time fraud detection across critical workflows like account changes, logins, and transactions.

Context Aware™ Authentication considers the originating channel, the transaction’s context, the available authentication methods, as well as the customer’s preference to determine the most appropriate authentication journey, in real-time.

A centralized cross-channel strategy closes gaps left vulnerable to fraud attacks that are inevitable when authenticating in silos. Cross-channel risk analysis is the ability to detect and correlate fraud signals across multiple customer interaction points – such as digital banking (web browsers, mobile apps, chat banking, call center) and e-commerce (3-D Secure) transactions – ensuring a unified and consistent fraud prevention approach regardless of the channel.

Thanks to its single API connection, Entersekt is the only authentication provider that unifies authentication and risk detection across digital banking and 3-D Secure transactions. This ensures a faster time to market by removing the need to integrate multiple providers, thus enabling vendor consolidation and a streamlined customer experience.