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Bots can cause serious damage to your brand to detect bots  and consumer trust by stealing value, such as login credentials or personal information. They also can perform DDoS attacks and sabotage your site’s performance. The need to detect bots has never been more important to ensure your site’s security and protect customer data.

The key to detecting bots is to understand the different behaviors and attack vectors that differ between humans and bots. Effectively detecting bots requires both server-side and client-side detection methods. Server-side detection includes examining the traffic to identify suspicious patterns, while client-side detection looks at user behavior like mouse movements, page navigation, and keystrokes to detect anomalies that suggest bot-like activity.

The Bot Buster’s Guide: Effective Methods to Detect and Neutralize Automated Malicious Bots

Passive signals are a great way to identify basic bots, such as looking at the header messaging of incoming traffic to determine whether it matches the standard messages that particular browsers send. Additionally, examining the referring URL can help identify bots as they are often spoofing the referral.

Detecting bots can be challenging, especially since attackers are getting smarter. New iterations of bots are able to mimic human behavior and even use real-world devices, making it harder for traditional detection techniques. In addition, advanced bots are designed to hide their true origin, including using IP reputation databases to mask their identities and utilizing complex sequences of events that are difficult for traditional bot detection systems to catch.

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