Singapore – Sumsub has introduced ‘Adaptive Deepfake Detector’, an updated deepfake detection system designed to improve the identification of increasingly sophisticated online fraud. The new technology uses continuous machine learning updates in real time, aiming to address weaknesses found in conventional systems that rely on periodic offline model refreshes.
Traditional fraud detection models are typically updated at set intervals, which can leave gaps lasting weeks or months before new threats are recognised. During that time, emerging scams may evade controls and affect both businesses and users.
The launch reflects growing concern over the speed and complexity of digital fraud. Multi-stage fraud attempts rose by 180% in 2025 and accounted for 28% of all fraud cases identified on its platform worldwide. The use of AI-generated deepfakes has also continued to increase since 2023 across several markets.
“Modern deepfakes can no longer be detected by the human eye, and decision-making should be based on multiple signal analyses in real time,” Nikita Marshalkin, Head of Machine Learning at Sumsub, stated.
“That’s why we launched our upgraded Deepfake Detector, offering clients not just a tool, but rather an online learning system that combines advanced document checks, device intelligence, and fraudulent networks analysis to complement deepfake detection capabilities.”
The Adaptive Deepfake Detector is designed to analyse information from a range of sources rather than relying on a single anomaly indicator. These include identity documents, geolocation, IP data, device characteristics, facial liveness checks and patterns that may indicate linked fraudulent accounts or networks.
Additionally, the system continuously monitors new activities, removing the need for scheduled retraining cycles or extensive manual reviews. It dynamically adjusts detection thresholds in response to changing threats in an effort to maintain high levels of accuracy.
The development highlights a broader shift in fraud prevention towards adaptive and automated risk management tools as businesses face faster-moving AI-enabled threats.
