Safeguarding platforms: Detecting abusive behavior patterns
In this session, we will explore the strategies employed by malicious actors who harness automation to amplify their abusive actions. I'll also delve into the latest approaches adopted by leading technology companies in the field of anti-abuse to combat digital threats such as fraudulent account creation, user profile scraping, automated spam, and account takeovers. The objective is to inspire API developers to protect their organizations' valuable data against scraping and misuse.
Addressing the challenges of using machine learning (ML) to combat abuse is a central theme. These challenges include maximizing signal detection, staying ahead of adversarial attackers, and covering various attack surfaces. I'll introduce an innovative tool one can use that operates on raw sequences of member activity, allowing us to effectively utilize hidden signals in the data and enhance our ability to thwart adversarial attacks.
