Bots are a common security concern for online businesses. However, detecting bots is not as simple as it sounds. There are two primary ways to detect bots: server-side and client-side detection.
What does it mean when it says bot detected?
Server-side solutions can help by looking at the HTTP requests made by the user. These requests can be compared against a list of known good browsers. For example, if the number of requests from a certain IP address is significantly higher than the average, that can be an indication of automated traffic.
There are also other signals that can indicate automated traffic. One of these is a high bounce rate. Another is a lack of coherence between user sessions. Using custom segments can help measure such behaviors.
It is important to note that there are many bad bots. They are responsible for phishing attacks, denial-of-service attacks, click fraud, and identity theft. If you are seeing bots on your website, you should block them and report the activity to your IT team.
Some companies are now turning to artificial intelligence to identify bots. While these tools aren’t perfect, they can give you an idea of the types of bots that are on your website. You can then use machine learning to detect patterns.
In addition to blocking bots, it is essential to have a strategy for mitigating bot activity. This will keep your business safe. A bot detector can also help you save time and money in the long run.