Necessary cookies are absolutely essential for the website to function properly. Furthermore, logs can be automatically aggregated across multiple dimensions, allowing admins to easily identify suspicious anomalies or locate false positives, and then further refine policies as needed. Hillstone WAF also leverages machine learning technology to fine tune security policies and block unknown threats and attacks. This dual-engine approach significantly increases accuracy while minimizing false positives by creating a context-aware analysis engine. Hillstone’s app firewall combines traditional rules-based detection with innovative semantics analysis. In addition, the WAF validates APIs against the schema defined in OpenAPI, and automatically generates positive security model policies to detect and defend against attacks and misuse. It defends against attacks at both the network and application layers, providing protections against DDoS, the OWASP Top 10 threats, and bot attacks, to list a few examples. Hillstone W-Series Web Application Firewall (WAF) provides enterprise-class, comprehensive security for web servers, applications and APIs. High-Performance Web App Firewall Defends Against OWASP Top 10 Threats
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