Bot Detection Software For Websites

Bot detection software for websites filters unnecessary non-human traffic to keep website pages and digital experiences working well for real users. This helps prevent online fraud and skewing of website analytics data, protects brand reputation, and preserves consumer trust. It also helps reduce operational risks like account takeover (ATO) and credit card fraud, or stealing proprietary data from competitors’ websites to gain an unfair competitive advantage.

Detecting and blocking bots is difficult, as sophisticated bots can mimic human behavior or bypass rule-based detection techniques. Advanced bot protection tools combine a variety of techniques to better identify malicious bots, including device fingerprinting, behavioral analysis, and global threat intelligence.

Bot Detection Software for Websites: How to Keep Your Site Secure from Malicious Traffic

The latest bot detection solutions rely on machine learning to recognize patterns in incoming website traffic that are often associated with suspicious bot activity. By continuously analyzing and adapting to evolving threats, these new techniques improve detection accuracy without introducing false positives or negatively impacting user experience.

Other signals to look out for include sudden traffic spikes, unusual access patterns such as repeated or excessive clicks, and a large number of failed CAPTCHA challenges. A significant deviation in the way the client browser or device hardware and software functions is another key indicator of bad bots.

A trusted, robust bot mitigation solution should offer a range of APIs and integrations for incorporating into existing technology stacks to streamline deployment and ensure compatibility with existing systems. For example, Radware Bot Manager integrates with content management systems and web application firewall (WAF) solutions to enable easy and seamless integration into existing infrastructure. It also features a robust set of APIs to provide granular attack response, including automated responses for known types of bot attacks.