FRAUD PREVENTION & AML COMPLIANCE
Financial crime is evolving at pace, with criminals exploiting faster payments, fragmented systems and increasingly sophisticated tactics. Many financial institutions are still held back by legacy tools that create siloes between fraud and anti-money laundering teams, limiting visibility and slowing response times.
NOTO was founded to address these challenges through a unified Enterprise Financial Crime Management platform that brings together transaction monitoring, customer risk assessment, sanctions screening and machine learning in a single scalable solution.
Here, CEO and Co-founder Ivan Stefanov shares how modern platforms can help organisations stay ahead of emerging threats while improving speed, governance and decision accuracy. He also explores the practical role of AI and machine learning in prevention, the importance of explainability and why flexibility is essential as regulatory expectations increase.
Q. TELL US ABOUT NOTO’ S MISSION AND HOW YOU HELP FINANCIAL INSTITUTIONS COMBAT FRAUD
» At NOTO, our mission is to fundamentally change the way financial institutions prevent fraud and financial crime, such as money laundering. We believe that technology limitations, rigid platforms or fragmented point solutions shouldn’ t hold the industry back.
Instead, organisations should have access to a unified, modular and infinitely scalable platform that adapts to their business.
“ Our mission is to fundamentally change the way financial institutions prevent fraud and financial crime”
Ivan Stefanov, CEO & Co-founder, NOTO
Our goal is transformative but straightforward: create a world where the prevention of fraud and financial crime is no longer constrained by technology, scalability, capability or cost.
NOTO was founded by experts who spent years on the front lines of fraud, risk and compliance, seeing first-hand how legacy, outdated tools were slowing teams down, increasing cost and creating siloes in fraud and compliance functions.
The company was built to solve these challenges. We designed an Enterprise Financial Crime Management( EFM) platform that brings together all core risk operations – real-time transaction monitoring, customer risk assessment, sanctions screening, account and payment fraud detection, and advanced machine learning – into a single, enterprise-grade solution.
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