Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

AI is revolutionizing the way fintech firms detect fraud, secure customer data, and manage security threats in real time. With the ability to analyze enormous d ...

Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

NEW YORK -- The federal government's bet on using artificial intelligence to fight financial crime appears to be paying off. Machine learning AI helped the US Treasury Department to sift through ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...

In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...

AI has been used to defraud people through everything from calling voters to faking celebrity giveaways. Now, the US Treasury Department claims machine learning AI has played a critical part in its ...

Speaking at Inc42’s 'The GenAI Summit', PhonePe CTO and cofounder Rahul Chari said while there is a lot of buzz around generative AI, people often confuse AI with GenAI Commenting on GenAI, Chari said ...

The Global Online Fraud Detection Market Size is projected to grow at a CAGR of 24.2% from 2024 to 2031, according to a new ...