Revolut Introduces Call Identification Tool to Counter Rising Imppersonation Scams
Revolut has launched a new in-app call identification feature aimed at protecting customers from impersonation scams, as fraudsters increasingly deploy AI-generated voices and social engineering tactics to trick victims into authorising fraudulent payments.
The feature, rolled out today, detects when a Revolut customer opens the app while on a phone call and confirms whether the caller is a legitimate Revolut agent. If the call is not from Revolut, users are shown a clear warning and guided toward immediate actions to report the attempted scam and secure their account.
The move comes as impersonation scams and authorised push payment (APP) fraud continue to rise sharply, fuelled by the growing use of deepfake technology that makes it harder for consumers to distinguish between genuine and fraudulent calls.
Real-Time Warnings During Live Calls
Revolut said the new feature is designed to intervene at the most vulnerable moment in a scam: during a live phone call, when victims may be under pressure to act rapidly. When the app detects that a customer is on a call — including calls made through third-party voice apps — a live banner appears within the Revolut app.
If the caller is verified as a Revolut agent, the banner confirms that the call is legitimate. If not, the user is shown an urgent warning stating that they are not speaking to Revolut. From there, customers can tap the banner to access step-by-step guidance on how to respond, including .
According to Revolut, the system goes beyond similar tools already available in the market by not only identifying the call source but also offering “actionable protection pathways” while the scam attempt is still unfolding.
Revolut’s new call identification feature is designed to interrupt impersonation scams in real time, giving customers immediate confirmation and guidance while a fraudulent call is happening.
AI-Driven Fraud Is Raising the Stakes
The launch reflects a wider challenge facing as criminals increasingly adopt artificial intelligence to scale fraud. AI-generated scripts, cloned voices and more convincing and more hard to detect.
Revolut pointed to a 2021 study which found that only 25% of people could accurately distinguish a deepfake voice from a real one, even though most participants believed they were capable of spotting fakes. That gap between confidence and reality has left consumers particularly exposed to scams that rely on urgency and authority.
Impersonation scams typically involve fraudsters posing as bank staff or trusted individuals and pressuring victims to move money, share . The growth of these tactics has been a major driver behind the surge in APP fraud across multiple markets.
Rami Kalai, Product Owner at Revolut, said the company views real-time intervention as essential. “Revolut is committed to building a securer financial future,” he said. “As fraudsters adopt AI and advanced deepfake tools, we need to innovate quick to defend our customers and stay ahead of rapidly evolving fraud threats.”
He added that the feature is designed to work in the moment of risk. “This new feature not only gives users real-time, contextual warnings in the moment they need them most but also guides them to identify impersonation scams providing clear, actionable steps to keep their money secure while the fraud attempt is happening.”
The rise of AI-generated voices and deepfake technology is making impersonation scams harder to spot, increasing the need for in-the-moment verification tools.
A Broader Push to Reduce APP Fraud
The call identification feature is the latest addition to Revolut’s broader fraud-prevention strategy. The fintech said its systems prevented more than £600 million in customer losses to scams in 2024 alone, as it invested heavily in machine learning and behavioural analysis to detect suspicious activity.
Recent security tools include in-app calling, which allows customers to speak directly to Revolut support without relying on external phone numbers, reducing the risk of spoofing. Other measures, such as Wealth Protection and Street Mode, introduce biometric verification and transfer delays to protect customers in high-risk situations, including coercion or phone-based fraud.
Revolut also continues to enhance its transaction monitoring models, which aim to block high-risk payments before funds leave a customer’s account. The company argues that layering these controls — identity verification, behavioural monitoring and contextual alerts — is critical as fraud becomes more adaptive.
The new call identification feature is already live for all iOS users. Android customers can enable it manually via the app’s Security Hub, with Revolut encouraging users to activate the setting to benefit from the additional protection.
Revolut is layering real-time alerts with biometric checks, in-app communication and machine-learning controls as part of a wider effort to curb APP fraud.
With more than 65 million customers globally and 12 million in the UK, Revolut’s move underscores how large fintechs are increasingly acting as frontline defenders against fraud that blends human manipulation with AI-driven tools.
As impersonation scams grow more sophisticated, industry observers expect regulators and consumers alike to scrutinise whether protection that works not just later than losses occur, but during the critical moments when fraudsters strike.
Revolut’s latest launch suggests that real-time, contextual intervention — rather than retrospective investigation alone — is becoming a central pillar in the next phase of fraud prevention.
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