Automation Fraud Detection Risk Assessment 
Finextra
JULY 7, 2025
In the sections below, we break down the impact by five key areas of customer experience: personalization, self-service, customer engagement, support automation and accessibility. Indeed, 64% of finance leaders report using AI for fraud detection and risk management in their institutions.
Fintech News
FEBRUARY 10, 2025
Weve already seen this shift with robo-advisors, automated budgeting apps, and frictionless payments. Agentic AI fits perfectly into this new landscape by stepping beyond traditional automation. People no longer want to just be handed tools to manage their money.
The Payments Association
FEBRUARY 10, 2025
Partnering with regional providers, leveraging AI for fraud detection, and conducting regular audits will ensure compliance, transparency, and operational excellence. Since vIBANs are often treated as extensions of master accounts rather than independent relationships, firms fail to apply appropriate risk assessment frameworks.
The Fintech Times
FEBRUARY 19, 2025
” Risks of automation dependance Sharing a similar view, Adam Ennamli , chief risk and security officer at General Bank of Canada , added: “Failures can have existential consequences, from significant monetary losses to complete loss of market trust and regulatory penalties.
The Payments Association
JUNE 11, 2025
Consumer behaviour adds another layer of complexity to the fraud landscape. 45% of shoppers in the UK have admitted to return fraud or policy abuse, representing an estimated £22.8 billion in return-based fraud in 2022. The global fraud detection market was valued at £33.13 CAGR from 2025 to 2030.
The Fintech Times
JANUARY 20, 2025
However, this requires robust tokenisation services, in addition to a highly automated solution with API capabilities. These include: Improved acceptance rates: Advanced risk assessment capabilities result in fewer declined transactions, increasing successful payment completions and boosting revenue.
The Payments Association
MARCH 18, 2025
Open data, in turn, enriches these offerings, enabling innovative credit scoring and risk assessment beyond traditional banking channels. Open data extends beyond regulated financial data-sharing to non-banking datasets, such as telecom, utility, e-commerce, and social data, creating new layers of insight but also new risks.
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