Filter news by category
Search articles by keyword
Data analytics are particularly useful in identifying two types of fraud: overstatement/exaggeration of loss and “ghost” claimants.
Since his release, Kweku has sought to use his experience and his example to clean up the finance industry, exposing the systemic failures and extreme pressures that resulted in his actions.
Some 38% feel hectic schedules make them more susceptible to scams, according to a survey from Mumsnet and the finance industry-backed national awareness campaign Take Five To Stop Fraud.
Dispute resolution law firm Kennedys and the University of Manchester will develop next-generation fraud prevention software for the benefit of insurers.
What Fraud Examiners Can Learn From Talking to Fraudsters
An exploratory examination of investigative interviewers’ reflections on their performance by Andrew Griffiths and David Walsh
New research announced by Callcredit Information Group found that the number of fraud professionals planning to use machine learning to tackle fraud in the next three years has doubled from 11% last year (2016) to 22% in 2017.
A penetration tester shares a story that shows how social engineering can get you anywhere.
The CLC’s mandatory secure badge scheme hopes to reduce the risk of impersonation online through cloned or copied websites, and helps to identify fraudsters setting up fake firms claiming to be regulated by the CLC.
Danske Bank has gone public on its deal with Think Big Analytics, the consulting arm of Teradata, to create and launch an artificial intelligence (AI) driven fraud detection platform.
Midlands Fraud Forum Ltd. Reg.No: 06436330 Copyright © March 2014