Q3 2025 FinCrime Landscape Report | Australia
The Q3 2025 FinCrime Landscape Report: Australia analyses how emerging technologies and real-time payment systems are redefining financial crime risks. Developed in collaboration with experts from the AFC Ecosystem, the report highlights two dominant threats — deepfake-enabled scams and account takeover (ATO) fraud — and their evolution into full-fledged laundering pipelines. It provides detailed scenarios, transaction-level red flags, and actionable recommendations to help financial institutions strengthen their defences and detect fraud with greater accuracy and speed.
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Q2 2025 Financial Crime Landscape Report: Australia & New Zealand Copy
Explore key insights from the Q2 2025 Australia Financial Crime Landscape Report, compiled by the AFC Ecosystem. This exclusive industry report reveals the top financial crime threats—including investment scams and real-time payment laundering—and how regional banks and fintechs are responding. Learn how Tookitaki’s AI-powered compliance platform helps financial institutions stay ahead of emerging risks, reduce false positives, and meet rising regulatory expectations in Australia and New Zealand.
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Q1 2025 Financial Crime Landscape Report: Australia & New Zealand
Explore key insights from the Q1 2025 Australia Financial Crime Landscape Report, compiled by the AFC Ecosystem. This exclusive industry report reveals the top financial crime threats—including investment scams and real-time payment laundering—and how regional banks and fintechs are responding. Learn how Tookitaki’s AI-powered compliance platform helps financial institutions stay ahead of emerging risks, reduce false positives, and meet rising regulatory expectations in Australia and New Zealand.
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Powering the Next-Gen of AML Technology with AI
This Tookitaki report elucidates how our solution complements the existing rules-driven primary system for easy operationalisation.Download our whitepaper to understand:The challenges arising from incremental adjustments to existing systems and current alerts management processesThe criticality of smart alert management to augment efficiency and effectiveness in AML processesThe framework to operationalize an AI-driven transaction monitoring solution into existing financial crime prevention ecosystemsUse cases to validate the productivity gains and returns FIs have garnered when the solution was deployed in productionThe example of a Tier-1 bank that saved over US$1 million through enhanced productivity in the alert management process.
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Q2 2025 Financial Crime Landscape Report: Australia & New Zealand Copy
Explore key insights from the Q2 2025 Australia Financial Crime Landscape Report, compiled by the AFC Ecosystem. This exclusive industry report reveals the top financial crime threats—including investment scams and real-time payment laundering—and how regional banks and fintechs are responding. Learn how Tookitaki’s AI-powered compliance platform helps financial institutions stay ahead of emerging risks, reduce false positives, and meet rising regulatory expectations in Australia and New Zealand.
Q1 2025 Financial Crime Landscape Report: Australia & New Zealand
Explore key insights from the Q1 2025 Australia Financial Crime Landscape Report, compiled by the AFC Ecosystem. This exclusive industry report reveals the top financial crime threats—including investment scams and real-time payment laundering—and how regional banks and fintechs are responding. Learn how Tookitaki’s AI-powered compliance platform helps financial institutions stay ahead of emerging risks, reduce false positives, and meet rising regulatory expectations in Australia and New Zealand.
Powering the Next-Gen of AML Technology with AI
This Tookitaki report elucidates how our solution complements the existing rules-driven primary system for easy operationalisation.Download our whitepaper to understand:The challenges arising from incremental adjustments to existing systems and current alerts management processesThe criticality of smart alert management to augment efficiency and effectiveness in AML processesThe framework to operationalize an AI-driven transaction monitoring solution into existing financial crime prevention ecosystemsUse cases to validate the productivity gains and returns FIs have garnered when the solution was deployed in productionThe example of a Tier-1 bank that saved over US$1 million through enhanced productivity in the alert management process.