Counter-fraud

Zurich has announced a partnership with Carpe Data – a California-based company which offers a claims monitoring system powered by alternative and emerging data – to improve claims processing efficiency and help in the detection of insurance fraud.

Ecommerce is increasingly open to payment fraud: time to think holistically about how to tackle it with machine learning, report stresses

https://internetretailing.net/themes/online-payment-fraud-losses-to-exceed-200bn-over-next-5-years-says-juniper-21056

More than £1million worth of fraud — often targeting vulnerable and elderly customers — has been prevented through the Banking Protocol, a UK-wide scheme that enables bank branch staff to spot potential fraud victims and request an immediate police response.

https://westbridgfordwire.com/1-1-million-worth-of-fraud-prevented-in-nottinghamshire/

Nicola Sharp of corporate crime solicitors Rahman Ravelli emphasises the importance of companies having preventative measures that are fit for purpose.

Yorkshire Building Society will be holding events across the country providing people with hints and tips on how not to become victims of financial fraud.

If fraudsters are executing their campaigns very quickly and on a massive scale; the same approach must now be taken by brands.

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Recently, I spoke about fraud at the Federal Deposit Insurance Corporation for their investigators.

7 February 2020: the ability to scan and process vast amounts of employee data offers a new approach to risk mitigation and can help combat fraud, but as with any technology that can be applied to humans there is a fine line to tread, writes Mark Taylor.

https://www.icaew.com/insights/features/2020/feb-2020/what-could-sentiment-analysis-offer-accountancy

“Another record year for fraud success,” is how Allianz Insurance Plc described 2019 as it revealed just how much it was able to save, thanks to fraud detection.

https://www.insurancebusinessmag.com/uk/news/breaking-news/fraud-detection-saves-allianz-uk-65-2-million-212930.aspx#.Xj85SaukWNw.twitter