Safeguarding Platforms: Detecting Abusive Behavior Patterns

Discover strategies for detecting and combating abusive behavior patterns in digital platforms in this 13-minute conference talk from PlatformCon 2024. Examine the tactics employed by malicious actors who leverage automation to amplify their abusive activities, and explore cutting-edge techniques adopted by major technology companies in the anti-abuse domain. Learn about methods to protect against digital threats such as fraudulent account creation, user profile scraping, automated spam, and account takeovers. Gain insights into the challenges of using machine learning for abuse detection, including maximizing signal detection, staying ahead of adversarial attackers, and covering various attack surfaces. Explore an innovative tool that operates on raw sequences of member activity, enabling more effective utilization of hidden signals in data to enhance defense against adversarial attacks. Equip yourself with knowledge to safeguard your organization's valuable data against scraping and misuse, and inspire API developers to implement robust protection measures.