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2026 Global Survey Highlights Urgent Need for Real-Time, AI-Powered Fraud Detection
TelAve News/10891343
OPTIONAL, U.K. - TelAve -- Fraud is growing faster than many organisations can keep pace with, as cybercriminals increasingly use artificial intelligence and automation to scale attacks with greater speed and precision. New global research highlights that while executives are highly aware of emerging threats, many admit their organisations are struggling to respond quickly enough.
The study, highlighted by Provenir, a global provider of AI-powered Decision Intelligence, shows the growing pressure on organisations to strengthen fraud defences while maintaining the seamless digital experiences customers expect.
Executives Struggle to Keep Up with New Fraud Threats
Half (50%) of credit risk and fraud executives surveyed say their biggest challenge is the inability to detect and respond quickly to new fraud trends. This gap exposes weaknesses in traditional fraud prevention strategies that rely on static rules and fragmented data.
At the same time, 77% of respondents say they are concerned about the rise of AI-enabled fraud, as attackers increasingly use advanced technologies to mimic legitimate behaviour and exploit digital processes at scale.
More on TelAve News
Organisations Turn to AI for Faster Fraud Detection
To counter these threats, organisations are accelerating investment in advanced technologies. The research shows that 75% are deploying AI-driven, adaptive fraud prevention solutions, while 74% are using real-time anomaly detection to identify suspicious activity as it occurs.
These approaches reflect a broader shift toward more dynamic, data-driven fraud strategies that can adapt to evolving attack patterns.
Focus on Automation and Accuracy
Looking ahead, organisations are prioritising greater automation and improved AI performance. More than half of respondents say they plan to enhance operational efficiency (54%) and improve the accuracy of AI and machine learning models (54%), while 52% aim to reduce overall fraud losses.
Fraud Prevention Becoming a Strategic Business Driver
The study also shows that fraud prevention is increasingly linked to wider business goals. Respondents say their fraud strategies are expected to help improve customer retention (57%), enhance customer experience (55%), increase profitability (51%), and enable real-time decision-making (50%).
More on TelAve News
"The biggest risk today isn't just fraud itself, rather it's the speed and sophistication at which fraud vectors are evolving, with half of institutions indicating keeping pace with this race remains their greatest challenge," said Carol Hamilton, Chief Commercial Officer, Provenir (https://www.provenir.com/survey-2026-global-decisioning-survey/). "AI-driven, real-time, and adaptive fraud prevention is essential to improving model accuracy and protecting customers without adding friction to the experience."
Methodology
The research was conducted by The Harris Poll in December 2025, surveying 203 senior decision-makers responsible for deploying AI-based solutions across North America, EMEA, Latin America, and Asia Pacific. Respondents represented industries including banking, financial services, fintech, insurance, retail, wholesale, and telecommunications.
The study, highlighted by Provenir, a global provider of AI-powered Decision Intelligence, shows the growing pressure on organisations to strengthen fraud defences while maintaining the seamless digital experiences customers expect.
Executives Struggle to Keep Up with New Fraud Threats
Half (50%) of credit risk and fraud executives surveyed say their biggest challenge is the inability to detect and respond quickly to new fraud trends. This gap exposes weaknesses in traditional fraud prevention strategies that rely on static rules and fragmented data.
At the same time, 77% of respondents say they are concerned about the rise of AI-enabled fraud, as attackers increasingly use advanced technologies to mimic legitimate behaviour and exploit digital processes at scale.
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Organisations Turn to AI for Faster Fraud Detection
To counter these threats, organisations are accelerating investment in advanced technologies. The research shows that 75% are deploying AI-driven, adaptive fraud prevention solutions, while 74% are using real-time anomaly detection to identify suspicious activity as it occurs.
These approaches reflect a broader shift toward more dynamic, data-driven fraud strategies that can adapt to evolving attack patterns.
Focus on Automation and Accuracy
Looking ahead, organisations are prioritising greater automation and improved AI performance. More than half of respondents say they plan to enhance operational efficiency (54%) and improve the accuracy of AI and machine learning models (54%), while 52% aim to reduce overall fraud losses.
Fraud Prevention Becoming a Strategic Business Driver
The study also shows that fraud prevention is increasingly linked to wider business goals. Respondents say their fraud strategies are expected to help improve customer retention (57%), enhance customer experience (55%), increase profitability (51%), and enable real-time decision-making (50%).
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"The biggest risk today isn't just fraud itself, rather it's the speed and sophistication at which fraud vectors are evolving, with half of institutions indicating keeping pace with this race remains their greatest challenge," said Carol Hamilton, Chief Commercial Officer, Provenir (https://www.provenir.com/survey-2026-global-decisioning-survey/). "AI-driven, real-time, and adaptive fraud prevention is essential to improving model accuracy and protecting customers without adding friction to the experience."
Methodology
The research was conducted by The Harris Poll in December 2025, surveying 203 senior decision-makers responsible for deploying AI-based solutions across North America, EMEA, Latin America, and Asia Pacific. Respondents represented industries including banking, financial services, fintech, insurance, retail, wholesale, and telecommunications.
Source: Provenir
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