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Table 1: Eward Driehuis , TheatFabric
Your Customers: Weakest Link or Fraud‑Fighting Super Sensors?
- Fraud and APP prevention can be strengthened by treating customers as active partners in scam detection rather than viewing them as the weakest link.
- New tools such as link-checking bots, in-app call verification, and contextual warnings enable customers to provide valuable real-time intelligence during high-risk interactions.
- Customer participation can improve fraud detection, reduce the burden on fraud teams, and transform security friction into a source of trust, engagement, and competitive differentiation.
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Table 2: Manish Kumar Bisht, Concentrix
How Financial Institutions Are Operationalising Scam and Fraud Prevention in Southeast Asia leveraging Human + AI capabilities
- Addressing the rise of scams and authorised fraud across Southeast Asia through AI-powered prevention and stronger regulatory alignment
- Leveraging AI to manage real-time payments, high alert volumes, and cross-border risks while enhancing customer experience.
- Transforming financial crime operations with AI, automation, and data-driven models to strengthen detection and response.
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Table 3: Jordan Lo, IMTF
Holistic Anti-Financial Crime - From Functional Excellence to Systemic Effectiveness
- Why increasingly interconnected financial crime requires a more holistic and unified compliance approach.
- How aligning data, workflows, intelligence, and governance across AML, fraud, sanctions, and KYC improves effectiveness.
- The practical challenges and transformation required to move from siloed compliance functions to a single compliance vision.
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Table 4: Sanat Paralkar, NICE Actimize
Fraud Risk Futures – New Threats in an Uncertain Market
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Table 5: Martin Markiewicz, Silent Eight
Compliance at Scale, Zero Tolerance for Missed Risk: The AI Operating Model Shift ASEAN Banks Can't Afford to Delay
- Scaling without compromise — why efficiency and effectiveness must move together
- Beyond the bottleneck: rethinking the AI operating model for autonomous decisions at volume
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Table 6: Amber Zhang, Symphony AI
How financial institutions enable an always-on compliance approach with Agentic AI, Symphony AI
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