WEBINAR
Holistic economic crime prevention in the AI era
The move from reactive defence to real-time resilience in modern banking
Now available on-demand
Check out some key moments from the webinar:
How the economic crime landscape has shifted
Why effective data management is crucial
The importance of real-time threat intelligence
The use cases for agentic AI in economic crime operations
AI is unlocking new attack vectors, transforming criminals’ behaviour and changing the typology of economic crime. Fraudsters are increasingly leveraging AI to improve the sophistication of social engineering-based attacks, harnessing customer data to drive more targeted, adaptive phishing and intelligent impersonation scams. At the same time, the surface area for fraud has grown rapidly, as the growth of customer touchpoints has given rise to new entry points and vulnerabilities.
In this more digital era, siloed approaches between cybersecurity and financial crime are no longer fit for purpose, and reliance on legacy detection models are leaving banks exposed, not just to financial loss, but to reputational damage and erosion of customer trust.
This webinar explores how banks can rethink economic crime management for a new era, where fraud, cyber and customer experience are increasingly interconnected. The panel discusses how AI-enabled technologies can help institutions move from reactive investigation to proactive, real-time defence, all while ensuring effective governance, compliance and operational control.
Watch to gain insights on:
- How AI is opening new attack vectors and altering criminals’ behaviour
- How banks can overcome siloed approaches to cybersecurity and economic crime management
- How banks can embed real-time threat intelligence, decisioning and incident response into workflows
- The new threat landscape: how are AI-enabled fraud technologies changing criminal behaviour and altering the structure of economic crime today?
- Breaking down silos: why must banks develop a more connected approach to economic crime management and cybersecurity and what does that look like in practice?
- Real-time security vs reactive reimbursement: how is proactive customer protection becoming a key differentiator for a competitive customer experience offering today?
- Real-time intelligence: how do legacy models need to adapt to enable banks to achieve more proactive, real-time detection and interventions?
- Agentic workflows: where can intelligent automation and dynamic risk prioritisation support teams to act faster and more effectively?
- Designing the future operating model: what does an AI-enabled economic crime function look like? And how can banks ensure effective governance and control as AI adoption grows?
Who's speaking:
Emma Whiteside
Resolving Economic Crime, Lab Product Owner
Lloyds Banking Group
Ashtha Bajaj
Data and AI Lead
Bank of Ireland
Colin Whitmore
Financial Crime SME, Consultant, Former Financial Crime Director, NatWest
Mohit Aiyar
Head of Banking & Financial Services, UK & Ireland
Cognizant
Panelists include:
Emma Whiteside
Resolving Economic Crime, Lab Product Owner
Lloyds Banking Group
Ashtha Bajaj
Data and AI Lead
Bank of Ireland
Colin Whitmore
Financial Crime SME, Consultant, Former Financial Crime Director, NatWest
Mohit Aiyar
Head of Banking & Financial Services, UK & Ireland
Cognizant
About Cognizant
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant.
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