Summary
This case study details the collaboration between Belk, a prominent retailer, and HUMAN, a cybersecurity firm, to combat account takeover attacks and gift card abuse. Belk's e-commerce platform faced increasing threats from sophisticated bots, which not only jeopardized security but also hampered server performance, particularly during peak shopping periods. The study outlines how HUMAN Sightline was deployed to enhance Belk's defenses, utilizing behavior-based machine learning algorithms and threat intelligence. The implementation resulted in a significant reduction in bot attacks, with a reported 90% decrease in server load during these incidents. Furthermore, the case study highlights the efficiency gained by Belk's security team, which could redirect their focus to other critical areas instead of spending excessive time on bot-related issues. The partnership led to improved site performance and record online order rates during the holiday season, showcasing the effectiveness of the proactive fraud defenses put in place.
