Under DDoS Attack? +1 866 926 4678 Login EN Start for Free Contact Us Products Solutions Industries Support Partners Customers Resources Home > Data User Behavior Analytics Data User Behavior Analytics Imperva Analytics automate detection of non-compliant, risky, or malicious data access behavior across all of your databases, enterprise-wide. Schedule Demo Contain attacks before they escalate Data risk is difficult to determine Security incidents are often caused by employees. Human error leads to compromised accounts that go right through access controls and encryption. Imperva automatically uncovers data access behavior whether accidental, poor practice or deliberately malicious. 90% of data breaches are caused by human errors Respond to threats, not anomalies Anomaly-based analytics drown teams in alerts. How do you accelerate remediation and ensure every security incident is actually worth investigating? Imperva uses purpose-built algorithms to reduce false positives and raise critical database threats in plain language. 32% of IT professionals ignore alerts because of so many false positives Don’t just react, take control Imperva Analytics give you visibility into a broad range of risks from accidental exposures to persistent attacks by an evasive exploit, so you know what’s happening before it’s too late. Speed time to problem resolution Prioritize by real risk rather than just anomalies Spot bad actors before they cause damage Correct non-compliance before audit failures Get clear summaries that explain complex issues in simple terms Eliminate false positives and enable SOC teams to focus on the critical issues Customer Story Leading Financial Services Company Imperva Data Risk Analytics dramatically reduced the volume of security alerts, speeding incident resolution, and improved staff effectiveness by spotting critical data access problems. Reduced False Positives Daily alerts went down from 10,000 to 10 - 20 prioritized issues Gained Insights Clear summaries enabled quick investigations and solutions Increased Productivity Analyst output went to almost 100% resolution at equivalent headcount Improved Effectiveness Staff uncovered 3 serious incidents including a large out-of-scope download by an employee "Imperva helps my team keep up with risk mitigation issues for a massive amount of business data every day" Director of Security Operation at leading financial services company How Data Risk Analytics works Imperva combines deep domain security expertise with machine learning to identify both user and computer system behavior that violates secure practices or peer group norms. Right out of the box, our analytics spot a threat even when it comes from complex or evasive activity. Alerts are sent for critical issues and low-risk issues are filtered out. Customizable rules enable you to incorporate your unique risk attributes into the analytics process. Download Datasheet See how we can help you secure your web apps and data. Free Trial Schedule Demo Additional Resources Read Next Datasheet Imperva Data Risk… Webinar Security Analytics:… White Paper Complement and… From Our Blog Data security is broken: What’s next? Elad Erez■Sep 14■3min read How to Exploit SQL Server Using OLE Automation Ofir Shaty■Sep 6■5min read Related Products Database Security Cloud Data Security Imperva Plans +1 866 926 4678 Partners Imperva Partner Ecosystem Channel Partners Technology Alliances Find a Partner Partner Portal Login Resources Imperva Blog Resource Library Case Studies Learning Center About Us Who We Are Events Careers Press & Awards Contact Information Network Network Map System Status Support Emergency DDoS Protection Support Portal Imperva Community Documentation Portal API Integration Trust Center Cookies Settings Trust Center Modern Slavery Statement Privacy Legal English Copyright © 2021 Imperva. All rights reserved Imperva uses cookies to improve your experience, deliver personalized content and analyze our traffic. You may modify your cookies settings at any time, as explained in our Cookie Notice Cookies Settings Accept All