Our latest insights

We Fight Fraud

We Fight Fraud helps organisations to protect themselves by developing their ‘human firewall’ against fraud and financial crime. WFF is a collaboration between leading financial crime and fraud prevention specialists whose backgrounds include law enforcement, cybersecurity, criminology and a former member of the criminal underworld, TV expert and presenter who specialised in fraud. We bring multiple perspectives and insights – developed in the field through extensive testing and cutting-edge research – into our innovative and highly effective training.

The Academy platform
The We Fight Fraud Academy is an online training and testing platform which builds an organisation’s ‘human firewall’ through ongoing education and testing of their entire staff, calculating regular risk scores for each staff member, and offering targeted intervention to those who present the highest risk to the organisation.


No articles are currently available for this member.


No whitepapers are currently available for this member.
No articles are currently available for this member.

Login or Register

Don't have an account?

Are you part of the Payments Association community?

Not yet set up your login for the Payments Association Community Platform? Set it up now

Set up a free account for instant access to our content

You don’t need to be an Payments Association member to view the majority of our content. Simply enter your details below once to set up your login details and get access to our library of whitepapers, podcasts, consultation papers, webinars and more.

First Name*
Last Name*
Company Name*
Job Title*
Business Email Address*
Confirm Password*
The Payments Association exist to help drive the industry forward. As such the Payments Association may contact you about any future content or events that we think you may have a legitimate interest in. We will store your information securely and will never share your details with third parties other than the relevant resource(s) sponsor(s)/curator(s). You may opt out at any time. By clicking register you are agreeing to the terms of our Privacy Policy.

← back