Scams Don’t Start at Payment. Neither Should Your Defence.
Build a Connected, Intelligence-Driven Scam Strategy
Scams rarely begin at the point of payment. They develop across channels, devices and platforms, often long before a customer is persuaded to transfer funds. Yet many financial institutions still rely on fragmented controls that assess digital activity, customer interactions and payments separately.
A modern approach to scam prevention requires intelligence across the full customer journey. By bringing together customer, behavioural, device, identity, beneficiary and payment signals, financial institutions can identify indicators of manipulation sooner, make more informed decisions and intervene before money moves.
This eBook explores how scam prevention is evolving as regulatory expectations and liability frameworks place greater emphasis on proactive, cross-channel and network-aware controls. It introduces six core pillars for building a more connected scam strategy that strengthens customer protection and helps institutions respond to an increasingly organised and sophisticated threat.
Inside, you’ll find:
- How to connect customer, behavioural, device, identity and payment intelligence across the scam journey
- How earlier signals can help identify manipulation before funds are transferred
- How digital identity and beneficiary intelligence can strengthen scam and mule detection
- How AI-driven assessment can support more targeted diagnosis and intervention
- Why inbound and outbound mule detection should form part of one connected strategy
- How ecosystem partnerships and shared intelligence can extend visibility beyond the institution
Download the eBook to explore how an intelligence-driven scam prevention strategy can help your organisation identify risk sooner, intervene more effectively and better protect customers.
Jonathan Lamb, Lead Engagement Manager, Fraud and Identity, LexisNexis® Risk Solutions
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