Report Flags AI Fraud as Fastest-Rising Financial Risk
The Financial Crime Landscape 2026/27 Report urges firms to assign owners, document staff intervention and track AI fraud-control errors.
Updated on Nov. 13, 2026 in Financial Crime
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Payments Intelligence published The Financial Crime Landscape 2026/27 Report, drawing on live polls at the Financial Crime 360 event, where AI-enabled fraud was the risk most often selected as rising fastest relative to firms' ability to respond. The report was published on November 13, 2026.
Why it matters
The findings point to a gap between how quickly AI-enabled fraud is growing and how prepared firms are to respond to it. Recommendations focus on governance, including accountable owners for AI systems and clearer rules on when staff should step in.
The report is a published research output rather than a legal or investigative proceeding, and it identifies unclear authority over AI-initiated payments as an open question. Its recommendations call for working through specific cases to determine where current processes need clarification.
The players
Payments Intelligence
The research and analysis team at The Payments Association that produced the report, focused on payments and financial crime research.
The Payments Association
A UK-based industry body representing payments firms, which publishes research through its Payments Intelligence team.
The details
The report was produced by Payments Intelligence, the research and analysis team at The Payments Association, using polls and interviews from the Financial Crime 360 conference held in November 2026. It recommends tracking whether AI fraud-control systems miss fraud or block legitimate payments, and it examines where firms seek greater regulatory clarity.
Timeline
November 2026: Financial Crime 360 conference held, with sessions on AI fraud.
November 13, 2026: The Financial Crime Landscape 2026/27 Report published.
Market Dynamics
The rising concern about AI-enabled fraud reported at Financial Crime 360 reflects a widening gap between the speed of the threat and industry readiness. The report's call for real-time data sharing between firms signals that responses to fraud increasingly depend on coordination across the sector.
For firms, the report points to concrete steps: naming an accountable owner for each AI fraud-control system and tracking false negatives and wrongly blocked payments. Customers may see the effects through how often legitimate payments are stopped by automated fraud controls.
The takeaway
Firms that assign clear ownership of AI fraud controls and measure both missed fraud and wrongly blocked payments are better positioned to respond. Coordination with other firms on shared data may matter as much as internal tooling.
Further reading
For more on related patterns, explore Financial Crime coverage.
More information
Read the full Financial Crime Landscape 2026/27 report from Payments Intelligence.
Source note: This article includes information reported by Retail Times.
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