Detect non-human web traffic, often referred to as bots or bad bots, is a common cause of high bounce rates and low conversions. While some bots are legitimate, such as search engine crawlers and analytics tools, others are malicious. Detecting and blocking bots is an important step to ensuring that online platforms operate smoothly and securely.

Bots are software applications that perform automated tasks without human involvement. They are used by companies for automation such as web crawlers, but can also be used by cybercriminals to carry out attacks and fraud. Bad bots are rogue programs that mimic human behavior to perform criminal activities such as stealing customer data, click-fraud and more.

How to Spot and Filter Out Non-Human Traffic

Identifying bots can be challenging. Traditional bot detection methods rely on identifying known patterns. However, bad bots evolve quickly to hide obvious automated markers and create traffic patterns that are nearly indistinguishable from humans. Moreover, detecting bots requires manual labor and can lead to false positives that impact site performance.

Fortunately, there are advanced bot mitigation solutions that can automate the detection of malicious and bad bots to protect websites and online platforms. Powered by artificial intelligence, these solutions can monitor incoming traffic and dynamically adjust risk decisioning to block attackers before they become a threat. Arkose Labs, for example, uses Intelligent Challenge-Response to make it harder for bad bots to exploit the internet while enabling humans to enjoy a smooth and secure online experience. To learn more, download our ebook Beat Advanced Bots With Intelligent Challenge-Response.