Change Auditor for Windows File Servers and DNIF HYPERCLOUD offer strong solutions in the IT auditing and security category. Users generally prefer DNIF HYPERCLOUD for its comprehensive features and advanced functionality, although Change Auditor is valued for cost-effectiveness and support.
Features: Change Auditor stands out with detailed audit reporting, real-time alerts, and user activity monitoring. DNIF HYPERCLOUD is noted for advanced threat detection, analytics, and its scalable architecture.
Room for Improvement: Change Auditor could improve its scalability, integration capabilities, and user interface. DNIF HYPERCLOUD needs better documentation, an improved onboarding process, and a more intuitive user experience.
Ease of Deployment and Customer Service: Change Auditor is known for straightforward setup and a responsive support team. DNIF HYPERCLOUD, despite a more complex deployment, benefits from dedicated assistance.
Pricing and ROI: Change Auditor is praised for attractive pricing and tangible ROI, making it a cost-effective choice. DNIF HYPERCLOUD, perceived as more expensive, offers high returns due to its cutting-edge capabilities.
Change Auditor for Windows File Servers helps you control and audit changes to Microsoft Windows file servers efficiently and cost-effectively. It proactively tracks, audits, reports and alerts on vital changes in real time and without the overhead of native auditing.
You will instantly know the “who, what, when, where and originating workstation” details, and get the original and current values for fast troubleshooting. You can then automatically generate intelligent, in-depth forensics for auditors and management, reducing the risks associated with day-to-day modifications and ensuring confidence at your next audit.
DNIF HYPERCLOUD is a cloud native platform that brings the functionality of SIEM, UEBA and SOAR into a single continuous workflow to solve cybersecurity challenges at scale. DNIF HYPERCLOUD is the flagship SaaS platform from NETMONASTERY that delivers key detection functionality using big data analytics and machine learning. NETMONASTERY aims to deliver a platform that helps customers in ingesting machine data and automatically identify anomalies in these data streams using machine learning and outlier detection algorithms. The objective is to make it easy for untrained engineers and analysts to use the platform and extract benefit reliably and efficiently.
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