About Bot Management
Last update：2025-09-13 14:37:59
With the widespread adoption of the Internet and accelerating digitalization, Bot traffic has become an essential and undeniable component of online traffic. While automation tools offer convenience, they also pose significant challenges to cyber security. According to the latest research data, Bot traffic now accounts for more than 50% of total Internet traffic worldwide.
Types of Bot Traffic
Bot traffic comprises a wide mix, and not all Bot traffic is either desirable or undesirable for enterprises.
- Benevolent Bots: Mainly used to facilitate people’s daily life and work, such as search engines and website monitoring.
- Malicious Bots: These primarily compromise network security and stability, such as in CC (Challenge Collapsar) attacks, credential stuffing, malicious scanning, and automated ticket scalping. Malicious Bot attacks are especially prevalent in industries like finance, e-commerce, and social media.
We need to allow approved, beneficial Bots while taking mitigation measures against malicious Bots to prevent our website from facing the following risks:
- Bulk vulnerability scanning and exploitation (especially 0-day vulnerabilities), resulting in website vulnerabilities being rapidly identified and exploited.
- Automated credential stuffing, brute force attacks, and similar activities result in leaks of enterprise accounts and user information, causing reputational losses.
- Persistent high-frequency automated traffic can consume substantial origin bandwidth and computing resources, increasing operational costs for the enterprise.
- Automated flash sales bots, ad fraud, and similar activities lead to reduced ROI for enterprise marketing campaigns, damage to company reputation, and negative impact on user experience.
Bot Management Detection Strategies
Bot management primarily includes the following detection strategies:
| Strategy Type | Description | Main Application Scenarios |
|---|---|---|
| AI Bots | Manages automated traffic related to AI applications. | Suitable for websites that want to block crawlers targeting AI models in one click, preventing issues such as copyright infringement and sensitive data leakage. |
| Public Bots | Manages automated traffic from active Internet search engines, market analysis, website monitoring, and more. | Suitable for websites that want to easily allow public Bots that benefit business operations. |
| Absolute Bots | Manages traffic with clear characteristics of automated tools. | Suitable for websites that want to block malicious automation from commonly used crawler development tools, frameworks, and scanners in one click. |
| Web Risk Detection | Actively identifies Bot traffic based on specific client scenarios, such as embedding a JS SDK in HTML pages. | Suitable for websites seeking to enhance Bot identification capabilities and defend against sophisticated Bot traffic. |
| Business Flow Detection | Customizes rules based on normal user behavior logic to identify Bot traffic that does not follow expected patterns. | Suitable for websites looking to refine the management of Bot traffic. |
| Intelligent Risk Detection | Uses big data analysis and machine learning to dynamically model access behavior, quickly detecting simple Bots, complex Bots, and advanced persistent threat Bots (APBs). | Suitable for websites experiencing heavy, complex Bot traffic and advanced persistent threat Bot traffic. |
| Abnormal Traffic Detection | Continuously monitors website bandwidth traffic to identify traffic abuse, and blocks abnormal IPs plus fingerprints. | Suitable for scenarios such as carrier/PCDN traffic abuse, helping solve bandwidth cost issues caused by abuse on your website. |
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