Signal Sciences next-gen WAF was designed by security practitioners who have lived the pain of constant rules tuning and have seen where pattern matching and signature-based rulesets fall short. Signal Sciences patented, token-based approach to attack detection is more accurate than rules or signatures and requires no tuning or maintenance.
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About this Data Sheet
Legacy Web Application Firewalls (WAF) require extensive rules tuning to ensure that canned rulesets do not generate false positives and block legitimate traffic. This legacy approach also leaves organizations with few options other than enabling just a small number of rules validated as “safe”—otherwise they risk blocking legitimate traffic in order to catch more potential attacks.
Learn more about Signal Sciences patented approach that enables superior application and API protection, including:
SmartParse that enables the ability to make instantaneous decisions in line
Power Rules that automate attack detection, blocking, and virtual patching
Network Learning Exchange (NLX), our proprietary means of aggregating attack data within the Signal Sciences Cloud Engine from across our customers’ deployed agents
