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Quick Summary
- Fraudsters are now embedding deepfakes into identity documents, enabling them to bypass verification and create fraudulent bank accounts.
- To stay ahead of evolving threats, bunq prioritizes security with multi-layered fraud protection and continuous risk monitoring.
- By integrating DuckDuckGoose’s DeepDetector into its KYC process, bunq enhanced real-time deepfake detection with AI-driven adaptability.
- This resulted in 90%+ accuracy in detecting deepfakes and an estimated 6x reduction in manual review efforts, as well as a seamless, secure onboarding experience.
Introduction
Founded in 2012 by serial entrepreneur Ali Niknam, bunq has brought lasting change to the European banking industry. By having its users at the heart of the business and building a product rooted in their wants and needs, bunq quickly scaled to become the second largest neobank in Europe. Serving those with an international lifestyle across the European Economic Area, bunq makes life easy for location-independent people and businesses starting from the way they manage money: how they spend, save, budget and invest.
THE CHALLENGE
Battling Sophisticated Deepfake Fraud
In this case, a new wave of high-quality deepfakes was used by fraud rings to create bunq accounts. The challenges included:
- Implementing an advanced deepfake detection solution to verify user identities.
- Protecting bunq from fraud while maintaining user trust.
- Addressing the widespread availability of simulators, injections, and AI tools exploited by fraudsters.
THE SOLUTION
DuckDuckGoose collaborated with bunq to combat Deepfake KYC Fraud
As the convenience of using deepfake technology advances, fraudsters found new ways to bypass traditional identity verification measures, posing a significant risk to digital banking security. Recognizing this challenge, bunq partnered with DuckDuckGoose to integrate an AI-driven deepfake detection layer into its Know Your Customer (KYC) process, ensuring fraudsters were stopped before they could exploit the platform.
DuckDuckGoose’s DeepDetector was seamlessly integrated into bunq’s onboarding pipeline, providing real-time deepfake analysis without disrupting the user experience. Unlike traditional fraud detection methods, which rely on manual review or rule-based detection, DeepDetector’s AI continuously learns and adapts to new deepfake manipulation tactics, keeping bunq ahead of any emerging fraud trends.
With zero added friction for genuine users, bunq strengthened its fraud prevention efforts while reducing false positives and manual verification efforts. The result? A highly efficient, automated system that detects and blocks deepfakes before they can be used to create fraudulent accounts.
THE RESULT
Smarter Onboarding, Stronger Security, Less Manual Effort
The implementation of DuckDuckGoose’s technology delivered immediate, measurable impact, making bunq’s onboarding process more secure, efficient, and future-proof against deepfake threats.
- 90%+ accuracy enabled by DuckDuckGoose in detecting deepfakes, estimated 6x reduction in manual review efforts for bunq, and enhanced compliance without disrupting user onboarding
- Synthetic identities prevented with upto 90% accuracy from being used during onboarding to create fraudulent accounts at bunq.
- Estimated 6x reduction in manual fraud review efforts: The explainable AI (XAI) functionality provides an added layer of operational efficiency, enabling bunq’s fraud prevention teams to quickly understand detection decisions and streamline case resolution. With greater transparency into flagged fraud attempts, analysts can focus on high-risk cases while minimizing time spent on false positives.
- Enhanced regulatory compliance and trust: Strengthening bunq’s position as a leader in secure digital banking by staying ahead of AI-driven identity fraud.
- Seamless onboarding experience maintained – Despite the additional security layer, legitimate customers continued to sign up without any disruption or increased verification steps.
Conclusion
Deepfake fraud is no longer a theoretical risk. It’s a real, evolving threat that banks must address. By proactively implementing DuckDuckGoose’s deepfake detection technology, bunq has transformed its fraud prevention capabilities while maintaining a seamless experience for genuine users.
This case study proves that cutting-edge fraud detection does not have to slow down growth or introduce friction—instead, bunq has scaled security effortlessly and set a new benchmark for KYC in the digital banking industry.
With deepfake tactics becoming more sophisticated, bunq remains at the forefront of fraud prevention, ensuring that trust, security, and user experience remain uncompromised.
Key Takeaways
Banks that fail to adapt risk exposure to advanced fraud. Bunq’s success highlights how AI-driven solutions like DuckDuckGoose’s DeepDetector enable financial institutions to outpace fraudsters—keeping digital banking safe, secure, and ahead of emerging threats
