Revelum is an AI-native platform that detects and removes deepfakes at scaleRevelum detects and removes harmful deepfakes of you

The deepfake count and their reach come from Revelum's data. The victim rate, average loss and compensation are assumptions; every bank should adjust them with its own data.

1. Deepfakes: 803, counted by Revelum in a real campaign against a bank executive in Spain.
2. Accounts reached: 803 × 1,670 = 1,341,010. 1,670 is the average EU reach of the 10,752 deepfakes we tracked against one Spanish public figure before takedowns began, from Meta's EU transparency data. Reach counts accounts that saw the ad at least once, so impressions are higher. 47% of those accounts belonged to people aged 55 or older.
3. People scammed: 1 in 1,000 accounts reached = 1,341. No public data exists on this rate; it is our assumption.
4. Money lost: 1,341 × USD 2,500 = USD 3,352,500. That's conservative: victims of the call-center network exposed by the Scam Empire investigation lost about USD 8,600 each. OCCRP
5. Bank compensation: 10% of losses = USD 335,250. Also conservative: in the EU, victims bore around 85% of credit-transfer fraud losses in 2024, leaving about 15% to banks and other parties. EBA/ECB, 2025
6. Staff hours: 803 deepfakes × 25 minutes = 335 hours.

Only 15% of online fraud victims in the EU report it to the police, so complaint counts understate the damage. FRA, 2026