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Analysing the behaviour and mind set of fraudsters in correlation with individual business models is a unique ability to fight fraud
In the fight against financial crimes, today’s organizations must focus on building compliance programs that are increasingly driven by analytics.
The launch comes alongside new data released by the bank that reveals 18-24 year-olds are more than five times more likely to be scam victims than the over-65s.
Apple is going to start using phone call and email metadata in an attempt to combat fraud.
IFED is now targeting the age group in the second phase of ‘Steer Clear of Fraud’ via sharing information and leaflets with police forces nationally, campaigning on social media and attending events at universities across the country.
Fraud, like the mythical Hydra of Ancient Greece, is a many-headed foe that is capable of disrupting society in a number of ways
Analytics, combined with machine learning and artificial intelligence (AI), now offers a viable solution that allows service providers to proactively combat fraud before it occurs
Artificial intelligence and machine-learning are fast becoming essential weapons in the war on fraud
The Court of Appeal overturned a controversial ruling by the High Court from May 2017, which threatened to have significant implications for companies carrying out internal investigations.
While fraud may be a human problem, the right technology can help businesses and individuals fight back.
Midlands Fraud Forum Ltd. Reg.No: 06436330 Copyright © March 2014