Log360 Use Case Bringing Down False Positives

What Methods Help Reduce False Positives In Regulatory Compliance This video walks you through the process of reducing false positives using advanced correlation techniques and contextual threat intelligence. Learn more about log360 through our resources.

Manageengine Log360 Customer Case Studies Log360 use case: bringing down false positives manageengine iam and siem • 360 views • 1 year ago. See how log360 cuts through alert noise with targeted, context aware detections. in this video, you’ll learn: more. Object level filtering: scope detection rules by users, groups, and ous to cut down false positives and alert fatigue. tuning insights: optimize rule performance through insights into hit frequencies, alert volumes, and suppression opportunities. Find out how you can implement log360's capabilities for your organization's requirements through industry specific use cases.

Manageengine Log360 Customer Case Studies Object level filtering: scope detection rules by users, groups, and ous to cut down false positives and alert fatigue. tuning insights: optimize rule performance through insights into hit frequencies, alert volumes, and suppression opportunities. Find out how you can implement log360's capabilities for your organization's requirements through industry specific use cases. In this on demand session, we walk you through a real world case study of a major enterprise under persistent assault from an advanced threat group, and explore how they responded and recovered. In log360, count based filtering using adaptive threshold is layered on top of behavioral based anomaly detection. here's an example to understand how it proves effective with precise threat detection:. Static thresholds often trigger false positives or miss stealthy attacks. log360’s smart thresholds adapt based on real time and historical data to detect true anomalies while filtering out. Manageengine log360 has reengineered its detection capabilities to reduce false positives and help soc teams identify and prioritize critical alerts.