“Security systems are generating tens of thousands of alerts per day, inundating security professionals and preventing them from focusing on high-priority alerts that require attention,” said Haim Zelikovsky, Vice President of Cloud Business at Radware. “Our Application Analytics feature addresses these issues with visibility, precision and control, leading to rapid troubleshooting. It allows users to optimise security policies, speed-up processes, and reduce exposure.”
Radware’s Cloud WAF Application Analytics employs advanced machine learning and big-data analysis algorithms to detect recurring patterns within log data, and converting them into actionable user activities, providing visibility, precision and control over events. With large amounts of security events condensed into a manageable set of activities, Radware Application Analytics provides simple, easy-to-understand explanations of security events; context on application behaviour, including why certain events are blocked or allowed; and a display of key activity details including recurrence and usage trends over time. The result is fast and effective response with a level of control providing security administrators with a frictionless operational experience.
“We are always looking for new ways to innovate, iterate and create the highest value products for our customers,” Zelikovsky added. "We received excellent feedback from our Cloud WAF customers that participated in beta testing. They felt that the Analytics feature really helped them understand what security events are generated by malicious activity that Radware's Cloud WAF Service blocks, how to fine-tune their security policies to eliminate false positives, and the meaning of security events with straightforward explanations.”
