These attacks are often performed using bot-scripts or coordinated hired fraudsters. Attacks involve multiple accounts creating bulk fraudulent orders which cause huge fraud losses, and the accounts disappear immediately afterwards.
Join our webinar to learn how to detect them and what you can do to protect your business. Using a merchant example based on real-world data, we'll share attack techniques and defences.
Highlights include:
- Sophisticated fraudster techniques - either one human behind a bot-script or coordinated attacks by multiple hired fraudsters
- Why are certain merchants and products vulnerable to these attacks?
- How we adapt models to detect and prevent these attacks
- Key questions and actions you can use to protect your business immediately
Speakers:
Philip Clarkson - Chief Scientist
Philip leads Ravelin's Detection department, a team of Data Scientists creating bespoke models for individual merchants. Philip joined Ravelin after working at Google, BNP Paribas and Hailo and has a PhD in Computer Speech Recognition from Cambridge University.
Milly Leadley - Senior Data Scientist
Milly has been building models at Ravelin for over three years that detect and prevent fraud for some of the world's largest ecommerce companies. Milly teaches the Introduction to Data Science course at General Assembly and has a degree in Immunology from Edinburgh University.
