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Imperva Attack Analytics detects application attacks by applying machine learning and domain expertise across the application security stack to reveal patterns in the noise.
Artificial intelligence analyzes millions of events to reveal commonalities and patterns invisible to the naked eye.
Attack Analytics sorts and groups security events into clusters of narratives, assigning each a severity level and supplying additional reputation intelligence so teams can quickly investigate.
Attack Analytics simplifies things by allowing you to monitor all security events identified by Imperva cloud-based and on-premises WAF solutions.
This enables complete visibility and helps in singling out enterprise-wide attack campaigns.
Attack Analytics has been instrumental to understanding the frequency and breadth of attacks we encounter. Previously it was just too unrealistic to sift through all the noise, but now we have a clear view into what is most important. Olivier Thonnard Senior Security Expert
Attack Analytics has been instrumental to understanding the frequency and breadth of attacks we encounter. Previously it was just too unrealistic to sift through all the noise, but now we have a clear view into what is most important.
Get the most up-to-date reputation of ever-changing IPs ranked by Imperva’s Threat Research Labs and cloud community.
Recommended actions to take based on our expertise and threat research knowledge.
When vulnerabilities are reported, view associated CVEs for an incident and filter your incidents according to all or specific CVEs.
Correlate millions of security events across our application stack including WAF, RASP and DDoS Protection into a few easy to read narratives.
Quickly discover how we provide visibility into the information Imperva gathers on attacking entities from customers and third-party vendors.
A quick 60 second rundown on our Actionable Insight functionality within Attack Analytics.
Protection against zero-day attacks
No tuning, highly-accurate out-of-the-box
Effective against OWASP top 10 vulnerabilities
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