Intelligent Risk Detection Details

Built on years of hands-on Bot defense experience, this solution uses big data analysis and machine learning to dynamically model traffic. It can quickly detect simple Bots, sophisticated Bots, and Advanced Persistent Bot Threats (APBs).

• Automated Framework Detection: Continuously analyzes and identifies highly human-like but pattern-based behaviors initiated by automated frameworks (such as browsers), distinguishing between legitimate visitors and Bots simulating human interactions.
• High-risk Sequence Detection: Continuously analyzes and identifies Bots, such as scripts that access resources following specific sequences. These malicious actors exhibit markedly different access patterns compared to the random behaviors of legitimate visitors.
• AI Detection: Leverages years of hands-on experience in Bot defense and attack sample analysis to continuously train AI models. These models are able to identify subsequent attacks and variant threats, making this solution widely applicable and suitable for the ever-changing landscape of attack and defense.

Note: This feature utilizes machine learning algorithms such as Random Forest and automated labeling for detection, with the goal of improving Bot recall rates. The model strategy is relatively aggressive to cover a broader range of potential threats, which inevitably leads to a higher false positive rate. It is recommended to use this feature after other rule engines, serving as a supplementary detection method to enhance overall confidence through cross-verification.

Steps

1. Log in to the Wangsu Console. Under your subscribed products, find and enter the security product you are using.
2. Go to the Protection Configuration > Security Policy page.
3. Locate the Domain for which you want to configure the security policy, and click to enter the Security Policy editing page.
4. Select the Bot Management tab. If Bot Management is disabled, please enable it first.
5. Configure detection rules under Intelligent Risk Detection.