Examine how organised scam syndicates are industrialising operations and expanding cross-border criminal networks across Asia
Map emerging risk exposure across banking, telecommunications, and digital platforms ecosystems
Identify the priorities to strengthen national resilience and regional cooperation
Explore how policy and national capabilities are adapting to stay ahead of evolving scam threats
Enable real-time intelligence sharing and joint enforcement actions across borders
Establish common protocols for faster content, communications and payment intervention, as well as fund recovery
Align regulatory and data-sharing frameworks across banks, telcos, platforms and law enforcement to strengthen cross-sector collaboration
Combat emerging threats such as AI-driven scams, deepfakes, and synthetic identities through collective action
Join us in this Speed Networking Session where you will be able to meet other participants at the Summit! During this session, you'll have the opportunity to engage with leaders in a short amount of time and exchange business cards to take conversations beyond the stage.
What triggered the need to rethink how customers identify legitimate calls and messages?
Which technical and operational controls were introduced across identity, authentication and messaging?
How were customer experience, security and commercial considerations balanced?
What implementation challenges emerged across legacy systems, partners and external platforms?
What changed after deployment — and what still remains difficult to solve?
Define clear ownership of scam risk across Fraud, Financial Crime, Risk, Compliance, Legal and Technology teams
Establish governance structures, reporting lines and board-level oversight for scam prevention
Build enterprise-wide awareness and accountability so scam, fraud and cyber risks are understood beyond specialist teams
Close the accountability gaps that slow response when a scam incident occurs
Identify where scams can be disrupted across messaging, platforms, telecommunications, account access and payments
Apply behavioural analytics and transaction monitoring across sectors to identify scam proceeds in motion
Integrate Fraud and Financial Crime investigations to disrupt criminal networks end-to-end
Accelerate intervention to stop illicit funds from leaving the financial system altogether
Detect impersonation, fraudulent accounts, malicious content, phishing activities earlier in the customer journey
Combine Trust & Safety, fraud, security and behavioural signals to identify coordinated scam activity at scale
Determine when platforms should warn, restrict, remove, suspend or escalate suspicious activity before harm progresses downstream
Strengthen user protection without creating unnecessary friction for legitimate users, creators and sellers
Share actionable intelligence with telcos, financial institutions and law enforcement when scam activity moves beyond the platform
We encourage open discussions to share experiences, exchange ideas and explore practical approaches to today's evolving scam prevention challenges.
Only 22% of scam victims recover from their loss. Whose job was it to stop it, the bank, the platform, or the telco?
Platforms and telcos often see the scam before the loss. How far should responsibility extend when the final transaction happens elsewhere?
Once the money starts moving, speed becomes critical. Where do AML/CFT frameworks, intelligence and cross-border processes still struggle to trace, freeze and recover funds?
Organisations are collecting more scam intelligence than ever. Where does the process break between identifying a threat and stopping it?
Translate regulatory expectations into enterprise governance and operating models that hold up across jurisdictions
Align Fraud, Risk, Compliance, Trust & Safety and Technology under a common set of controls
Balance compliance with operational agility so prevention doesn't come at the cost of speed
Build a framework designed to prevent losses upfront, rather than recover them after the fact
Identify scam and fraud signals further upstream, before the transaction or financial loss occurs
Combine behavioural, cyber, account and transaction intelligence to detect account takeover, compromised identities and suspicious activity earlier in the journey
Understand how AI is accelerating scam activity and the ability to identify emerging threats at scale
Look beyond the transaction to protect customers across the wider digital and payments ecosystem
Translate broader ecosystem intelligence into coordinated action across issuers, telcos, platforms and other ecosystem partners
Can organisations identify and disrupt scam activity early enough to prevent financial loss?
What does effective real-time intelligence sharing between banks, telcos, platforms, payments providers and regulators actually require?
Where are the biggest gaps between detection, escalation and intervention across the scam journey?
What needs to change operationally and institutionally for different sectors to act together before scams progress from first contact to financial loss?