1. Market Summary
1.1 Key Takeaways & Strategic Recommendations
1.1.1 Shared Intelligence Is Becoming More Important Than Solely Institution-level Detection
Banking fraud prevention is moving from institutional-level detection towards ecosystem-wide intelligence. Fraudsters exploit the gaps between banks, payment providers, and receiving accounts. This means that a bank can make an accurate decision using its own data, yet still miss risk visible elsewhere in the network. This is changing the value of consortium data, recipient intelligence, and cross-institution information sharing. Regulation is reinforcing this shift. For example, the United Kingdom’s reimbursement regime places financial responsibility not only on sending banks, but also on receiving institutions. While its XXXX fraud strategy prioritises public-private data sharing. For vendors, this means strong transaction models alone will become less differentiated. Competitive advantage will increasingly depend on the breadth, quality, and timeliness of external intelligence that can be incorporated into decisions. Banks should therefore assess not only model performance, but also whether a provider can identify fraud relationships across institutions, and help effectively prevent criminal funds from moving through the wider financial ecosystem.
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Trends & Strategies comprises of:
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Full Research Suite
£4,250
$5,780
€4,973
Full Research Suite comprises of:
Market outlook & trends analysis
Strategic recommendations
Competitor Leaderboard with 18 vendors ranked
Vendor profiles & capabilities analysis
5-year forecasts
8 regions and 60+ country-level data splits
Market segment data splits
12 months of continuous data updates
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