DIGITAL BANKING
Financial institutions face an increasingly complex challenge: fraudsters are early adopters of new technologies, particularly AI, to create sophisticated attacks. At the same time, organisations struggle with fragmented legacy systems that make coordinated defence difficult. Ivan Stefanov, CEO of NOTO, has spent nearly 17 years in the fraud prevention and payment space.
The company offers an enterprise financial crime prevention platform that addresses this problem through a unified approach.
NOTO focuses on two major use cases: anti-money laundering compliance and fraud prevention. The platform provides a unified, modular, data-agnostic solution, enabling organisations to:
• Monitor transactions in real-time.
• Assess customer risk dynamically throughout the lifecycle.
• Screen against global watchlists and other data sources.
• Integrate third-party data services.
• Detects and prevents fraud- across all channels and use cases.
The AI arms race Fraudsters are leveraging AI to generate high-quality deepfakes and execute faster, more precise attacks. This represents a significant escalation in the sophistication of attacks that financial institutions must defend against.
“ They’ re always the first adopters, the early adopters,” Ivan says.
“ You have to have quality input – good data, because if you get garbage in, you get garbage out”
IVAN STEFANOV, CEO & CO-FOUNDER, NOTO
“ At the moment, certainly one of the areas of application of AI is generating those deepfakes and forged documents with super high quality.”
NOTO’ s response involves enabling customers to apply their subject matter expertise into flexible decision-making flows. This approach works throughout the entire customer journey, from initial account opening through to ongoing transaction monitoring.
“ Think about it as a funnel of prevention and detection,” Ivan explains.
“ You start right from the beginning of the journey, where you detect some of those illicit actors, and then you continue on login and transactional level where you further continue to slice and peel out all attempted fraud and other illicit activity.”
This layered approach addresses threats at multiple points. Rather than relying on a single checkpoint, the system continuously monitors and assesses risk as customers interact with services.
140 November 2025