Watch Kasparov discuss the evolution of AI, explainable AI and other topics in this funny and fascinating video.

As a result of the rise in application fraud due to EMV adoption in the US, Citi is exploring new authentication protocols and new analytics.

Sebastian Thrun, the lauded computer scientist, outlined his vision of the AI revolution and gave us four examples to illustrate the immense changes that are coming.

One of the biggest trends in the financial crime industry is the convergence of fraud and regulatory compliance operations, which includes AML and know-your-customer, or KYC, regulations.

If you think of Garry Kasparov as the first chess Grandmaster to be beaten by AI - IBM's Big Blue - you only know half the story.

These three insights have helped some of our customers to develop an enterprise-wide, holistic approach to 21st century fraud management.

FICO’s Manish Gandhi was named to the DataIQ 100 for 2018 list of the most influential business and analytics leaders behind many of the most effective data-driven organisations in the UK.

When it comes to application fraud, machine learning analytics must be a critical part of a financial institution’s control strategy.

When it comes to baking at the industrial level, artificial intelligence is the new secret ingredient that can help food manufacturers rise above their competition.

How is application fraud evolving? And what should fraud leaders be doing to manage fraud risk in a digitally connected world?

It’s raining data left and right, and you need to start by understanding what data you already have to fight application fraud and where there are gaps.

One of the newer applications of artificial intelligence rose to the top of the Fraud & Security blog last year: anti-money laundering. Readers were also keenly interested in learning more about cybersecurity and ATM compromise trends.

As artificial intelligence applications exploded last year, our blog posts on Explainable AI and machine learning drew thousands of readers.