Revolut Introduces Cutting-Edge AI Defense Against Scams


  • Revolut launches AI-powered scam detection feature to combat rising scamming incidents.
  • The technology utilizes sophisticated machine learning algorithms to intercept potential scams and protect customers from fraudulent transactions.
  • Customers receive prompt interventions and educational resources to verify transactions and enhance awareness.
  • Direct access to fraud specialists via chat support ensures swift resolution and personalized assistance.
  • Implementation of the advanced feature leads to a significant 30% reduction in losses from card scams involving investments.
  • Analysis reveals that 60% of reported scam cases originate from social media platforms like Facebook, Instagram, and WhatsApp.

Main AI News:

In a climate where scamming tactics are proliferating, with identity theft, romance scams, and Authorised Push Payment (APP) scams on the rise, the need for robust defense mechanisms has never been more pressing. The proliferation of scamming incidents, which accounted for nearly 1.4 million cases of fraud in the UK during the first half of 2023, underscores the urgency for innovative solutions to combat this growing threat.

Responding to this escalating challenge, challenger bank Revolut has unveiled a groundbreaking technology designed to disrupt the tactics of scammers and protect its customers from falling victim to fraudulent schemes. Leveraging sophisticated machine learning algorithms, Revolut’s AI-powered scam detection feature aims to intercept and neutralize attempted scams before customers unwittingly transfer funds to criminal entities.

Developed by Revolut’s in-house financial crime team, this cutting-edge technology enhances the bank’s existing fraud detection capabilities by identifying suspicious transactions associated with potential scams, such as those initiated under false pretenses by individuals posing as bank representatives. By analyzing patterns and anomalies indicative of fraudulent behavior, the AI system can intervene proactively to safeguard customers’ assets.

Upon detecting a potentially fraudulent transaction, the system initiates a “scam intervention flow,” prompting the customer to provide additional information to verify the legitimacy of the transaction. Simultaneously, customers are presented with educational resources and cautionary tales to raise awareness and encourage vigilance when conducting financial transactions.

For cases requiring further investigation, Revolut offers direct access to fraud specialists via chat support, enabling swift resolution and personalized assistance in assessing the legitimacy of transactions. Since the implementation of this advanced fraud detection feature, Revolut reports a notable 30% reduction in losses stemming from card scams involving investments.

Analysis of scam origins reveals that a significant portion of reported incidents—60%—can be traced back to platforms such as Facebook, Instagram, and WhatsApp. Recognizing the evolving tactics employed by scammers, David Eborne, Head of Fraud at Revolut, emphasizes the bank’s commitment to empowering customers with both freedom and security.

We’ve made significant investments in our product to ensure that customers can transact safely and securely,” explains Eborne. “Rather than imposing blanket restrictions on certain transactions, our advanced feature strikes a balance, allowing legitimate payments while intervening to protect individuals from falling victim to fraudulent schemes. At Revolut, we’re dedicated to equipping our customers with the tools they need to navigate the digital landscape with confidence.”


Revolut’s innovative AI-powered defense against scams not only enhances customer security but also underscores the growing importance of proactive measures in combating fraudulent activities in the financial market. By leveraging cutting-edge technology and providing personalized support, Revolut sets a precedent for other financial institutions to prioritize customer protection in an increasingly digitized landscape.