{"id":18829,"date":"2020-09-24T13:26:20","date_gmt":"2020-09-24T05:26:20","guid":{"rendered":"https:\/\/www.exabytes.sg\/blog\/?p=18829"},"modified":"2020-11-23T14:28:47","modified_gmt":"2020-11-23T06:28:47","slug":"how-to-detect-and-manage-web-bots","status":"publish","type":"post","link":"https:\/\/www.exabytes.sg\/blog\/how-to-detect-and-manage-web-bots\/","title":{"rendered":"How to Detect and Manage Web Bots?"},"content":{"rendered":"

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Bot detection should be a cybersecurity priority for any businesses with a website or any online presence. <\/span>Close to 40%<\/span><\/a> of global web traffic comes from malicious bots, a lot of them are responsible for many serious data breaches, DDoS attacks, and various other cybersecurity threats.\u00a0<\/span><\/p>\n

On the other hand, detecting and filtering out malicious bot traffic is now harder than ever. Today\u2019s bots are so sophisticated in mimicking human behaviors and\/or masking their attack patterns to circumvent the common bot detection solutions.\u00a0<\/span><\/p>\n

Today\u2019s 4th-generation of bots have also utilized various AI and machine learning technologies, so an advanced bot detection solution is now a necessity. They are virtually impossible to detect without truly specialized expertise in dealing with both activities and the assistance of AI-based behavioral detection.<\/span><\/p>\n

In this guide, we will take a look at the current state of malicious bot activities and how they are distributed, the key requirements for a reliable bot detection solution, and how we can properly secure our system from bot-related cybersecurity threats.<\/span><\/p>\n

Let us begin by discussing the current state of malicious bot activities and the challenges in bot detection and filtration.<\/span><\/p>\n

Current Challenges in Detecting Malicious Bot Traffic<\/span><\/h2>\n

First, we have to understand that detecting malicious bot traffic involves two different aspects: differentiating between bot traffic and legitimate human traffic, and then, differentiating between good bots and malicious bots.<\/span><\/p>\n

Obviously we wouldn\u2019t want to accidentally block our valuable human traffic, and with the sophistication of today\u2019s bots in mimicking human activities, differentiating between human users and bots alone is now pretty challenging. Today\u2019s malicious bots are purposely designed to evade traditional bot detection solutions.\u00a0<\/span><\/p>\n

Second, we have to remember that there are \u2018good\u2019 bots we wouldn\u2019t want to block from our site. For example, we wouldn\u2019t want to block Google\u2019s crawler bots, which is useful in getting our site ranked on Google\u2019s SERP. Discerning between these good bots with malicious ones is even more difficult at the moment. We will discuss more about good bots vs malicious bots in the next section.<\/span><\/p>\n

Internet bots have dramatically evolved in recent years, and in cybersecurity point of view, we can divide these bots into four different generations:\u00a0<\/span><\/b><\/p>\n