Background:

I recently lost my life savings of £19,119.31 due to a sophisticated scam exploiting Revolut's inadequate fraud protection. Despite reporting the details of the fraudulent removal of funds from my account, Revolut has refused to reimburse/ compensate me, advising that careful consideration was given to my case (which they managed to do in less than an hour) and that a decision was made that they are unable to assist me. This highlights a significant gap in their internal controls, leaving customers vulnerable to similar scams. Revolut sent a message suspecting suspicious activity on my account, urging me to call them immediately, but did not provide a contact number. Additionally, my account was frozen, but despite this, transactions still went through. Upon further research, it became evident that I am one of many others that have fallen victim to similar scams due to Revolut's failure to implement robust safeguards.

Issues Identified:

Lack of Fraud Hotline: No immediate support to verify suspicious calls/ messages.

Inadequate Transaction Controls: Large transactions not pending for review.

No daily Spending Cap: No enforced limits to prevent large unauthorised transactions.

Poor Location and Activity Monitoring: Failure to flag suspicious transactions from high-risk regions.

High-Risk Retailers: Scammers using retailers like Apple Store and Louis Vuitton without adequate fraud risk management.

Proposed Measures:

24-Hour Fraud Hotline: Immediate support for verifying transactions and reporting fraud.

Multi-Factor Authentication (MFA): Implement SMS/email codes, authenticator apps, biometric verification and hardware tokens for transaction verification.

Pending Large Transactions: Hold transactions over £3,000 for 24 hours for customer review.

Multiple Transaction Restrictions: Additional verification for multiple transactions under £3,000 from the same retailer.

Daily Spending Cap: Enforce a cap of £3,000, with the option to increase via hotline verification.

Automated Fraud Detection Systems: Use behavioural analysis, machine learning models, geolocation tracking and real-time alerts to identify and prevent fraudulent activities.

Enhanced Location Monitoring: Use location data to flag suspicious activity.

High-Risk Retailers: Grade retailers like Apple Store and Louis Vuitton as high-risk, implementing stricter verification for transactions.

Call to Action:

Please sign this petition to urge UK Parliament to legislate these safeguards, ensuring Revolut and other financial institutions implement robust fraud protection measures. Protect yourself and others from falling victim to scams.

Please sign and share this petition to make a difference!