Global: Revolut Moves to Curb Impersonation Scams With New Security Feature

Digital challenger bank Revolut has rolled out a new security feature aimed at combating the growing threat of impersonation scams, as fraudsters increasingly exploit artificial intelligence and deepfake technologies to deceive users.

The new in-app call identification tool works in real time, detecting when a customer is on a phone call and confirming whether the caller is a legitimate Revolut representative or a potential scammer. By providing immediate verification and alerts, the feature is designed to close a critical gap in fraud detection during live interactions.

Revolut noted that impersonation scams have become more sophisticated with the rise of AI-generated deepfake voices. Research cited by the company shows that only 25 percent of people can accurately identify a deepfake voice, making phone calls a major vulnerability in financial crime prevention and customer protection.

Rami Kalai, Product Owner at Revolut, said the new capability reflects the need for faster innovation as fraud tactics evolve.

“As fraudsters adopt AI and advanced deepfake tools, we need to innovate quickly to protect our customers and stay ahead of emerging threats,” Kalai said. “This feature delivers real-time, contextual warnings at the exact moment users need them, while also guiding them with clear, actionable steps to identify impersonation scams and protect their money while an attack is unfolding.”

The call identification feature strengthens Revolut’s broader compliance and risk mitigation strategy, which increasingly relies on compliance analytics, machine learning, and automated fraud detection. Over the past two years, the company has introduced several security enhancements, including biometric verification to counter transfer mugging and advanced transaction monitoring to flag high-risk activity.

As impersonation scams continue to challenge financial institutions globally, Revolut’s latest update highlights how compliance technology and real-time regulatory monitoring tools are becoming essential to safeguarding customers. The move underscores a wider industry shift toward proactive fraud prevention, where security controls are embedded directly into user workflows rather than applied after losses occur.

With AI-driven fraud on the rise, solutions that combine fraud detection, customer education, and real-time intervention are increasingly viewed as a core component of modern financial compliance and risk management frameworks.