WEBINAR

The fraud lab: dissecting fraud case studies

27 January | 11am GMT | 12pm CET | Online

Fraudsters are continually refining their tactics, combining social engineering, impersonation, account compromise and AI-enabled techniques to create increasingly sophisticated scams. But behind every successful attack are clues: subtle inconsistencies, unusual behaviours and overlooked signals that can reveal how the fraud unfolded.

In this interactive Fraud Lab, the panel will dissect a series of real-world and anonymised fraud case studies. Each case will be broken down to understand how the fraud was constructed, what warning signs were present, which signals were missed, and where intervention might have been possible.

Rather than simply asking whether a transaction is fraudulent, the session will focus on learning how fraud happens and recognising the tell-tale patterns that sit behind different attack types. A practical, investigative format designed to challenge assumptions, share frontline experiences and give fraud professionals a sharper understanding of how seemingly small signals can reveal much larger fraud patterns.

Who's speaking:

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Emma Whiteside

Resolving Economic Crime, Lab Product Owner

Lloyds Banking Group

Ashtha-Bajaj-modified

Ashtha Bajaj

Data and AI Lead

Bank of Ireland

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Colin Whitmore

Financial Crime SME, Consultant, Former Financial Crime Director, NatWest

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Mohit Aiyar

Head of Banking & Financial Services, UK & Ireland

Cognizant

Panelists include:

Terje Aleksander Fjeldvær

Terje Aleksander Fjeldvær

SVP - Head of Financial Crime and Sanctions
DNB

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Hannah Johnson
Business Development Manager
MoneyLIVE

FAQ

Anyone working to spot and stop fraud: fraud, financial crime, investigations, analytics, risk and cybersecurity teams.

A hands-on breakdown of real-world, anonymised fraud cases, unpicking how each scam was constructed, which warning signs were present or missed, and where intervention was possible, to help fraud teams recognise the subtle signals and patterns behind social engineering, impersonation, account compromise and AI-enabled attacks.

Yes. Registration is free – joining details will be sent to the email address you register with.

The broadcast is live for an hour on 27 January 2027, 11am GMT / 12pm CET, online. A joining link goes out to everyone who registers ahead of the session.

Yes. The recording is sent out on demand after the webinar to everyone who registered.

To be announced.

Yes – you can email us your question ahead of time, or ask it live on the day.

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