- Automation Identification Methods - Traffic characteristics, such as attack rate, attack rate change and attack volume, can be used to identify automated attacks. Imperva provides detailed analysis of these characteristics.
- Automated Attack Trends - Automated tools can leave 'fingerprints' or patterns that can be extracted from the source code to identify an automated attack with high certainty. Imperva analyzes common code strings and parameters of these tools.
- Automated Attack Mitigation - Imperva provides analysis of multiple real-world attack vectors, highlighting characteristics security professionals can use to define malicious traffic, enabling black lists of suspected IP addresses.
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