Fraud Detection

Today, it is safe to say that social engineering has become the most dangerous and costly form of cybercrime that businesses face.   ...

Fraud often takes place through social engineering against customers logging in from where they always log in, from a device they have always used ...

Sophisticated Internet of Things (IoT) technologies transformed the cybersecurity systems in financial services. They’re continuously evolving and improving. Take credit cards as an example—commercial banks significantly cut the risk of skimming by ...

Despite advances in fraud detection technology, many individuals and businesses still face the impact of financial crime. In fact, losses from e-commerce online payment fraud reached 41 billion USD globally in 2022 ...

Discover the top insights discussed during this recent webinar with Sift customers Mindbody and Zipcar on the impact of automated and AI-generated fraud. The post How to combat the emergence of automated ...

The democratization of fraud enables anyone to easily engage in fraudulent activities. Learn more about this growing fraud risk and how to prevent it from impacting your business. The post What is ...

Social engineering is a common fraud risk that’s leading to a rise in account takeover (ATO) attacks. Learn about these risks and how to detect them. The post Understanding social engineering and ...

Discover how fraudsters exploit AI to conduct sophisticated scams and how businesses can stay safe with advanced fraud detection. The post Growing AI-powered fraud highlights the need for advanced fraud detection appeared ...

Coarse-grained features help us detect distributed attacks that go unnoticed when looking at fine-grained features like session or IP traffic ...

Online fraud is skyrocketing. Our Global Fraud Index reflects over 2 years of threat data revealing changes to risk over time. Learn more here ...