Statistical tools: a new way to beat white-collar fraudsters
-
- By Jake Hoskins and Dylan Bassett
The stubborn persistence of accounting fraud
Busine
Sorry, our subscription options are not loading right now
Please try again later. Get in touch with our customer services team if this issue persists.
New to Chartis Research? View our subscription options
If you already have an account, please sign in here.
More on Fraud
Vendor Profile: Informed.IQ
This report profiles Informed.IQ, a provider of artificial intelligence (AI)/machine learning (ML) solutions to lenders and a major player in the fraud prevention market for automotive loans.
Complacent RiskTech vendors are sleepwalking into a new, deregulated reality
Tectonic regulatory and legislative upheaval promises to transform financial institutions’ RiskTech spending. As compliance-based revenue streams slow due to deregulation, solution vendors will need to adopt more business risk-focused strategies for their product lines. Chartis Chief Researcher Sid Dash considers the likely impact of growing deregulation, and how vendors can prepare.
Next-Generation Case Management for Financial Crime Risk Management
A collaborative article by Chartis and NICE Actimize.
FRAML and beyond – fighting crime, the integrated way
A collaborative article by Chartis and NICE Actimize.
Fraud-busting in the new ‘normal’: keeping costs and false positives down post-COVID
Fraudsters are profiting from the pandemic, while financial firms’ fraud-detection systems are swamped with false positives. As firms adjust to a new ‘normal’, graph analytics and supervised and unsupervised models can help them keep pace with criminal behavior.
You need to sign in to use this feature. If you don’t have a Chartis account, please register for an account.
Sign in