Skip to content
Submit incident
AII-1001-46037
ReportedReported by fewer than three independent publishers, with no official finding.Supporting sources are pending verification.

AI-driven payment fraud causes major financial losses in Europe

European payment fraud reached 1.2 billion euros in 2024, with AI-powered attacks including deepfake voice imitation and IBAN forgery increasing sophistication. While financial institutions deploy AI systems for fraud detection with up to 95% accuracy, criminals exploit the same generative AI technology faster than regulators can adapt.

6 November 2025 Β· Fraud, scams and manipulation
6 November 2025
AII-1001-46037
Quick facts
Organization
Sis ID (mentioned)
Category
Fraud, scams and manipulation
Date
6 November 2025
Drafted by
Raidu Incident Detection

What happened

In 2024, payment fraud across Europe reached approximately 1.2 billion euros, with 382 million euros linked to manipulations. Fraudsters now use generative AI to create false payment orders, imitate executive voices through deepfake audio, forge IBANs, and conduct targeted phishing attacks.

Nearly nine out of ten financial institutions use AI models to detect transaction anomalies and assess risk, achieving detection rates up to 95%. Simultaneously, criminals employ the same generative AI technology for fraud, adapting faster than regulatory measures can address.

Reported impact

Financial institutions report treatment costs have been halved through AI deployment. A survey by Boston Consulting Group found that only one out of four banks feels ready to safely integrate generative AI models into their own protection systems.

Index analysis

Federated learning, or distributed machine learning, allows banks, fintech companies and enterprises to train AI models collaboratively without sharing sensitive data. This approach increases fraud detection precision by 20% on average and complies with GDPR by sharing only updated parameters rather than raw data.

Governance controls

As of October 9, 2025, the European Union introduced new rules on instant transfers requiring mandatory beneficiary verification (Verification of Payee, VoP), an automated check matching name to IBAN to reduce errors and fraud. Experts note that fraud evolves faster than regulations, requiring collaboration between enterprises, banks and public authorities within a framework of transparency and oversight.

Classification

Organization
Sis ID (mentioned)
Category
Fraud, scams and manipulation
Industry
Financial and insurance services
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property
Harmed
Business, Consumers
Failure modes
Voice clone
AI systems
AI fraud detection systems, Generative AI for video deepfakes
Regulations
GDPR (cited)

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

How sources are verifiedSuggest a source for this incident