Authentication can fall short, particularly in terms of user experience, a critical factor in mobile services growth. Intelligently balancing a seamless and fast process, no matter what the task at hand, securely and with minimal risk is a tall order.

Legacy solutions tied to password authentication combined with various other authentication methods have created rigid, one-size-fits-all, processes that hinder financial institutions’ ability to provide the right level of security for each specific transaction.

How can this be addressed? Dynamic authentication workflows based on an accurate risk score is key. This requires sophisticated analysis, often AI-driven, of both contextual and transactional data to know who you are dealing with. This of course is part of a wider digital transformation strategy that every financial organisation is undergoing.

But what are the best practices? Account Takeover Fraud (ATO) is one use case where intelligent adaptive authentication could come into its own. Building AI-driven scores from data captured on user behaviour, user device and user transaction context, will become increasingly critical in detecting anomalous log-in attempts, erroneous IP locations or fraudulent transactions.

Speakers include:

• Richard Dupree, Senior Vice President, Group Operational Risk, Bank of the West
• Andrew Scott, Head of Digital Portfolio Management, HSBC
• David Vergara, Director of Product Marketing, OneSpan