What are the available options? Commonly used bot blocking methods usually involve rule-based measures such as blocking IP ranges, countries, and data centers known to host bots — as well as Web Application Firewalls (WAF) and Access Control Lists (ACL) — but these methods are ineffective in detecting the newest, most sophisticated bots that have evolved to emulate human behavior.
The need for a specialized approach Bots today are far more technically advanced and human-like in their behavior when compared to the simple first and second-generation bots from over a decade ago. A large number of sophisticated attacks are either massively distributed or adequately ‘low and slow’ to operate under the permissible limits of rule-based security measures such as IP blacklists, WAFs and ACLs. In addition, bots mutate their characteristics and behavior to try to evade detection, which makes detection of their intent a crucial factor for Bot Risk Management (BRM) solutions.
Why a dedicated bot mitigation solution is essential Conventional bot mitigation solutions try to analyze visitors’ interactions with the website or app — such as mouse movements, click patterns, and page traversals. However, these approaches are becoming increasingly ineffective, because bots with advanced human-like interaction capabilities are able to evade these measures. Instead of analyzing interactions, a solution such as ShieldSquare tries to understand the intent of highly sophisticated non-human traffic by using proprietary techniques such as Intent-based Deep Behavior Analysis (IDBA) that leverage AI and Machine Learning. As bots continue to evolve, such approaches provide significantly higher levels of accuracy in detecting bots.