Imperva Attack Analytics uses AI-powered pattern recognition to cut through massive volumes of security alerts, distilling thousands of events into a few meaningful incidents. Faced with alert overload, talent shortages, and high stress, organizations struggle to identify real threats. Imperva solves this by correlating data into a single view, dramatically reducing alert volume and investigation time. In one case, a cryptocurrency company reduced alert noise by 1,700x, investigated 100x more incidents, and improved security across all monitored websites—without increasing headcount.

Join for free to read