Imperva Attack Analytics

Imperva Attack Analytics, developed by Thales Group, is an AI-powered security intelligence platform designed to help organizations cut through the overwhelming volume of security alerts and understand the true nature of threats targeting their applications. At its core, the solution uses machine learning to automatically correlate and distill thousands of raw security events into a small number of concise, readable attack narratives — transforming what would otherwise be hours of manual analysis into fast, actionable insights. It delivers detailed attack timelines, contextual information about threat actors, and visibility into full attack flows, enabling security teams to quickly identify patterns, understand attacker intent, and prioritize their response efforts accordingly. The platform integrates seamlessly with existing Imperva WAF deployments and SIEM tools, adding a critical layer of intelligence and context to alerts that organizations are already receiving. Imperva Attack Analytics is best suited for mid-market to enterprise organizations across industries such as banking, computer and network security, healthcare, and information technology, and is particularly valuable for IT security analysts, administrators, and security engineers who are responsible for incident response and threat investigation. By reducing alert fatigue, accelerating investigations, and providing a clear narrative around each attack campaign, it enables security teams to respond more decisively to real threats while minimizing time wasted on false positives and noise.