Malicious bot detection Detecting bad bots is a critical first step to protect brand reputation, consumer trust and prevent financial losses due to ATO, credential stuffing and carding attacks. Bot traffic can also cause site lag and slowness that can damage the user experience. In addition, successful bot attacks result in costly fraud losses (refunds, chargebacks and lost profits) and regulatory fines if they violate data protection frameworks.

Malicious bot detection relies on real-time monitoring and analysis of all website traffic, not just samples at regular intervals. Advanced bots can evade traditional approaches by hiding behind rudimentary technical hurdles such as CAPTCHA, so it is important to use the right combination of methods to detect them.

Unmasking the Culprits: How to Identify and Combat Malicious Bots with Advanced Detection Technique

Suspicious traffic signals can include sudden spikes in single-page visits, unexplained peaks in page reload times, lack of coherence in visitor navigation across pages and unusual user behavior such as entering fake form data or submitting fraudulent loyalty points. Suspicious IPs/geo-locations can also indicate suspicious bot activity especially if they originate from residential proxy services used by many bot developers to conceal their identity and hide their bot traffic.

A fast, scalable bot detection solution must be able to process trillions of data signals in real time and smoothly absorb the traffic peaks associated with sophisticated bot attacks. This requires a combination of device fingerprinting, behavioral analytics and machine learning to differentiate between human and automated requests as well as a deep understanding of how your web app works to identify unusual traffic patterns.