Best Anomaly Detection Software for Microsoft Sentinel
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Compare the Top Anomaly Detection Software that integrates with Microsoft Sentinel as of October 2025
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This a list of Anomaly Detection software that integrates with Microsoft Sentinel. Use the filters on the left to add additional filters for products that have integrations with Microsoft Sentinel. View the products that work with Microsoft Sentinel in the table below.
What is Anomaly Detection Software for Microsoft Sentinel?
Anomaly detection software identifies unusual patterns, behaviors, or outliers in datasets that deviate from expected norms. It uses statistical, machine learning, and AI techniques to automatically detect anomalies in real time or through batch analysis. This software is widely used in cybersecurity, fraud detection, predictive maintenance, and quality control. By flagging anomalies, it enables early intervention, reduces risks, and enhances operational efficiency. Advanced versions offer customizable thresholds, real-time alerts, and integration with analytics dashboards for deeper insights. Compare and read user reviews of the best Anomaly Detection software for Microsoft Sentinel currently available using the table below. This list is updated regularly.
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Wraith
NetCentrics
Rapid cloud adoption coupled with the complexities of multi-cloud environments and siloed security teams creates a critical visibility gap for many organizations. Wraith addresses this challenge by offering unparalleled visibility and threat-hunting capabilities across on-premise, hybrid, and multi-cloud architectures. These capabilities are enhanced by AI-enabled anomaly detection, making Wraith an essential tool for neutralizing hidden threats to secure and defend cloud environments. Wraith provides comprehensive multi-terrain visibility, allowing security teams to monitor assets and activities across different Cloud Service Providers (CSPs) with a single tool set. This ensures a unified security posture and faster threat response across diverse and complex cloud environments.
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