Accurately identifying customer behavioural trends and proactively preventing payments fraud and other criminal activity at the outset can be done with machine learning.

Ingesting tens of thousands of complex signals and analysing patterns to monitor activity is more effective than blocking transactions based on hard-coded and antiquated rules. Fraudsters can learn to circumvent these, and trusted users are put at risk, which is why embedded machine learning algorithms can be valuable.

Download this Finextra impact study, in association with Sift, to learn about:

• Payments fraud and how machine learning is being leveraged today,
• Account takeover fraud, the biggest future threat to banks, and
• Synthetic ID fraud, the next opportunity for machine learning.

Get the report