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Financial crime is no longer confined to a single institution. Organised, transnational networks move seamlessly across banks, telcos and digital platforms, while most organisations still only see the activity within their own systems.

That fragmented view is exactly what criminals exploit. This keynote explores why fighting financial crime now requires a coordinated, cross-industry approach built on intelligence sharing, collaboration and collective disruption.

Key takeaways

• How organised criminal networks exploit gaps between institutions and sectors.
• Why institution-only monitoring leaves critical blind spots.
• What effective cross-industry collaboration looks like, from intelligence sharing to coordinated disruption.

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As scams and fraud continue to grow across Australia and New Zealand, financial institutions need faster and smarter ways to respond.

This session explores how banks and payment providers are combining AI with human expertise to detect fraud in real time, manage growing alert volumes and protect customers without adding unnecessary friction.

Key Takeaways:

• AI is helping institutions keep pace with growing scam volumes and regulatory expectations.
• Real-time payments need real-time detection to identify suspicious activity before money moves.
• Human + AI delivers better outcomes by combining automation and data with human judgement and expertise.

Criminal networks move money across borders precisely because the systems built to stop them don't. Fragmented regulation, incompatible data regimes, and slow institutional cooperation create gaps faster than they can be closed, and by the time a transaction is flagged in one country, the money has already moved through three others.

This panel brings together financial crime, technology, and compliance leaders working to close the gaps between jurisdictions, institutions, and regulators.

We'll cover:

• The blind spots criminals exploit when money crosses borders
• Why information sharing breaks down, from privacy and data-sovereignty laws to inconsistent AML standards
• What effective public-private and cross-border cooperation actually requires
• How real-time payments and AI are changing both the threat and the response

A practical case study on disrupting scams and preventing losses before funds leave the system.

• Effective intervention points
• Balancing protection and customer experience
• Lessons from fund recovery

In this innovative session, attendees will be faced with a series of scenarios that they may face in their roles. Attendees will discuss the possible courses of action with their peers to consider the ramifications of each option before logging their own course of action.

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Results will be tallied and analysed by our session facilitator and results will impact the way the group moves through the activity.

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Will we collectively choose the right course of action?

Detecting market abuse at scale is no longer just a compliance challenge; it’s a data problem. In this session, Nasdaq shares how they embedded advanced AI into its surveillance platform to improve detection accuracy, reduce false positives, and scale consistently across complex global regulatory environments.

• Embedding AI into surveillance: How advanced analytics and machine learning are transforming detection accuracy while reducing noise and false positives
• Scaling across borders: Navigating diverse regulatory requirements while deploying a consistent, enterprise-wide surveillance capability
• From insight to action: Operationalising AI-driven alerts to enable faster investigations, stronger compliance outcomes, and real business impact

Fraud and other financial crimes thrive on asymmetry of information, exploiting gaps in organisations’ knowledge about customers, counterparties and transactions.

Information-sharing across organisations and across industry sectors is a powerful way to remove that asymmetry and ensure that organisations get the right information to stop financial crime at the same time.

With Australia’s Scam Prevention Framework coming into effect in 2027, organisations in designated sectors will be obliged to share intelligence with each other to stop scams.

The AFCX has been supporting private-to-private information sharing to disrupt financial crime for the last ten years.

We'll cover:

• Information-sharing obstacles and how to overcome them
• Opportunities in the scam prevention space and other spaces
• Moving from loss prevention and recovery to insight
• The roles of technology, projects, processes and legal/policy frameworks in intelligence-sharing

The Scams Prevention Framework shifts responsibility beyond individual organisations, requiring banks, telcos and digital platforms to work together to prevent, detect, disrupt and respond to scams.

As the framework takes effect, organisations are working out what compliance looks like in practice and where collaboration still falls short.

This panel brings together fraud, payments and compliance leaders to discuss how the framework is being implemented across the ecosystem.

We'll cover:

• What the Scams Prevention Framework obligations mean in practice, and how organisations are embedding them into day-to-day operations.
• How banks, telcos and digital platforms can work together to disrupt scams, tackle mule accounts, and close gaps across the ecosystem.
• Preparing for what's next, including reimbursement obligations, AFCA's expanded role, and demonstrating "reasonable steps" for compliance.

Select a topic of discussion and engage in an interactive roundtable discussion with a group of your like-minded peers.

Put your knowledge to the test in this fast-paced quiz covering real-world trivia, key concepts, and emerging trends. Compete for bragging rights - and a travel voucher - as the top scorer takes the crown.

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Fraud controls are built by people who've studied fraud, rarely by people who've committed it. In this keynote, Kerry Tucker draws on lived experience to take the audience inside the mind of someone who exploited those controls, and shows how the safeguards organisations trust look from the other side.

Kerry walks through how she read the environment around her: where the reconciliation gaps sat, how segregation of duties broke down in practice, and which everyday signals were there to be seen but went unquestioned. It's an honest, uncomfortable and ultimately practical account of the distance between how controls are designed to work and how they actually hold up under someone determined to get around them.

Attendees will leave with:

• A clear-eyed view of where fraud controls create a false sense of security
• The behavioural and process signals that surface a problem earlier than the numbers do
• Why culture and "the questions no one asks" matter as much as the framework itself

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What if identity fraud gives us a warning before the financial crime occurs? This session explores how these early signals could help financial crime teams spot compromised identities and intervene before fraud escalates.

Key takeaways:

• The window to act can be short. Suspicious activity can follow within days, making early detection critical.
• Identity fraud crosses organisational boundaries. Signals across telcos, banks and government can reveal risks no single organisation can see alone.
• A breach should trigger protection, not just notification. The opportunity is to activate monitoring and protection as soon as risk emerges.

Financial crime is evolving faster than many organisations can respond. AI is changing both how attacks happen and how they're stopped, regulation continues to expand, and the industry is still debating where responsibility should sit.
Join your peers for an interactive discussion on the trends, trade-offs and priorities shaping the future of financial crime prevention.

• Will AI ultimately give the advantage to defenders or criminals?
• What's the biggest financial crime challenge organisations face today?
• Is the industry ready for the next wave of regulation?
• Who should be responsible for scam losses?
• If you could invest in just one area over the next three years, where would it be?

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Unwind with your peers for a couple of drinks on us!