Best Anomaly Detection Software for Azure DevOps Server
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Compare the Top Anomaly Detection Software that integrates with Azure DevOps Server as of November 2025
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This a list of Anomaly Detection software that integrates with Azure DevOps Server. Use the filters on the left to add additional filters for products that have integrations with Azure DevOps Server. View the products that work with Azure DevOps Server in the table below.
What is Anomaly Detection Software for Azure DevOps Server?
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 Azure DevOps Server currently available using the table below. This list is updated regularly.
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Xygeni
Xygeni Security
Xygeni All-In-One AppSec Platform protects software from code to cloud with a unified solution built for Application Security Posture Management (ASPM). It gives CISOs, CIOs, and DevSecOps teams full visibility and control across the software supply chain, without slowing delivery. Xygeni secures every SDLC stage, code, dependencies, secrets, builds, IaC, containers, and CI/CD systems, detecting vulnerabilities, misconfigurations, and malware in real time. Powered by advanced AI, Xygeni prioritizes exploitable risks, cuts 90% of alert noise, and drives automated remediation through AI SAST, Auto-Fix, and Xygeni Bot. Developers scan and fix issues directly in their IDE, keeping code secure from the start. Early Malware Warning blocks zero-day supply-chain threats at publication, while smart dependency analysis prevents breaking updates. Seamless integration with GitHub, GitLab, Bitbucket, Jenkins, and Azure DevOps ensures a frictionless experience.
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