Find out in this report how the two User Entity Behavior Analytics (UEBA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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Small Business | 4 |
Midsize Enterprise | 4 |
Large Enterprise | 3 |
Company Size | Count |
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Small Business | 7 |
Midsize Enterprise | 3 |
Large Enterprise | 14 |
LogRhythm UEBA [EOL] offers advanced threat detection with an intuitive interface, utilizing correlation, behavior analysis, and machine learning to monitor server threats and privileged accounts effectively.
LogRhythm UEBA [EOL] provides comprehensive user behavior analytics and threat hunting capabilities, making use of customizable dashboards, reporting tools, file and registry monitoring. CloudAI adds depth by identifying unknown activities, enhancing network visibility and cyber risk reduction through constant monitoring. Users in Sri Lanka find it valuable for network stability, while other users leverage it for improved user monitoring and quick attack investigation. Despite its strong features, enhancements in integration, pricing in Asia, and documentation could improve its adoption.
What are the key features of LogRhythm UEBA [EOL]?In the financial sector, LogRhythm UEBA [EOL] is implemented to monitor privileged accounts and identify suspicious transactions swiftly. Healthcare organizations use it to safeguard sensitive patient data through behavior analysis. Manufacturing firms apply it to protect intellectual property and ensure compliance with industry regulations. Across these industries, the adaptability and analytics of LogRhythm UEBA [EOL] offer a strategic approach to cybersecurity management.
Microsoft Defender for Identity integrates with Microsoft tools to monitor user activity, providing advanced threat detection and analysis using AI. It enhances proactive threat response and security visibility, making it essential for securing on-premises and cloud environments like Active Directory.
Microsoft Defender for Identity offers comprehensive monitoring and AI-driven user behavior analysis. It detects threats through real-time alerts and identifies lateral movements and entity tagging, ensuring robust security management. With excellent visibility via its dashboard, it supports customized detection rules and seamlessly integrates with SIEM platforms. While SecureScore and SecureScan provide robust environment security, there is room for improvement in cloud security, on-premises application integration, and remediation capabilities. Azure integration is limited, and the administrative interface could be more user-friendly. Users experience frequent false positives, affecting threat detection efficiency.
What key features stand out in Microsoft Defender for Identity?In specific industries such as education and finance, Microsoft Defender for Identity is crucial for securing on-premises Active Directory and Azure Active Directory environments. It effectively detects suspicious activities and manages conditional access policies, offering user and entity behavior analytics, endpoint detection and response capabilities. This helps prevent unauthorized access and strengthens overall security, making it an invaluable asset for organizations aiming to safeguard their digital infrastructure.
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