Confronting Bad Bots on Different Levels by Olga Voloshyna


In recent years, we observe an increased amount of DDoS attacks all over the world. Thanks to the development of AI and Large Learning Models (LLMs), coupled with government-level support of various cyber groups, it is expected that the tendency of DDoS attacks growing in numbers and their multi-vector nature will persist in the future.

Botnets play by far not the smallest part in this. 2024 Imperva Bad Bot Report mentions that almost one third of global traffic comes from ‘bad’ bots. That’s why the question of mitigating the bad bot threat and implementing reliable security measures becomes an immediate one.

Same as with any security system, the ultimate solution is to employ multi-level protection: both on the hosting provider level and on the organization level. Although hosting providers cannot employ a universally effective solution for confronting DDoS attacks for all their clients, load balancing systems can be quite beneficial on their side. This helps distribute incoming traffic between different servers in order to avoid the overloading of particular servers during a DDoS attack. Additionally, a provider can filter the traffic, for example, from known bot addresses, by countries of origin, etc. Usually, such services come at an extra fee.

Deploying security systems of websites directly in the organizations’ infrastructure allows them to adjust the security more accurately in accordance with the exact needs of their business and their websites. They can consider specific behavior models of bots that attack their websites frequently and develop confronting measures specifically against such threats.


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