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Web Application Security
Radware AppWall takes a behavioral approach to web application security that goes deeper than signature matching and static rules. Instead of relying solely on known attack patterns, AppWall tracks user activity at the domain level using both IP-based and device fingerprint-based detection, which means it can identify bots operating behind dynamic IPs, source NAT, enterprise proxies, and environments where traditional IP tracking falls apart. Even when a bot changes its source address between requests, AppWall's device fingerprinting correlates security violations across sessions and time, catching the kind of evasive automation that signature-based WAFs consistently miss.
The platform integrates tightly with Radware's DefensePro for layered DDoS protection, signaling attacker source IP information to enable deep HTTP protocol parsing at the data center level for granular web-based attack detection. Bot Manager extends protection to mobile applications and scripting languages like Python through SDK integrations, while the ERT Active Attacker Feed provides real-time blocking of IP addresses with bad reputations, covering DDoS sources, scanners, anonymous proxies, IoT botnets, and web application attackers. WAAP capabilities include API security with full XML/SOAP web service protection for enterprise environments that still run service-oriented architectures.
For organizations that need a WAF capable of understanding application behavior rather than just matching patterns, Radware AppWall delivers the behavioral intelligence that distinguishes legitimate traffic anomalies from genuine attacks. It's particularly well suited for enterprises with complex deployment environments where bots are sophisticated, traffic patterns are unpredictable, and the difference between a false positive and a real block has direct business impact.
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