Lei Chen, Marcus by Goldman Sachs, Gagan Sekhon, MoneyLion, Neha Wattas, JPMorgan Chase, Ashish Jain, Arkose Labs
As finance becomes more digital and real-time, protecting their digital platforms is becoming increasingly challenging as attackers adapt their approach to combat the evolution of defenses in place on fintech and banking websites. These fraudsters attack endpoints like logins, account registration and password recovery. To make these attacks cost effective and efficient, attackers leverage the power of automation and build botnets capable of executing brute force attacks at scale.
Recently, some attackers have become significantly more advanced and subtle and send requests with clean fingerprints and IP addresses, making device and IP intelligence detection methods less effective. In Who’s In Control: Human or Machine?
In this session, you will discover:
- The fraud threat landscape facing fintechs and banks today
- How to defend against the most common attack methods
- A deep dive into behavioral detection methods: what behavioral detection is, the fraud signals worth collecting, methods of processing information, and building machine learning algorithms to effectively detect suspicious activity