Find out in this report how the two Security Information and Event Management (SIEM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Product | Market Share (%) |
---|---|
Stellar Cyber Open XDR | 1.4% |
DNIF HYPERCLOUD | 0.5% |
Other | 98.1% |
Company Size | Count |
---|---|
Small Business | 3 |
Midsize Enterprise | 1 |
Large Enterprise | 3 |
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.
Stellar Cyber Open XDR delivers an advanced, unified security solution designed for real-time threat detection and intelligent response, reducing complexity by integrating multiple tools into a single interface.
Stellar Cyber Open XDR aggregates security data from many sources to provide comprehensive threat detection and response capabilities. It offers a streamlined, user-friendly experience, allowing teams to efficiently manage incidents. By automating routine security tasks, it enhances operational efficiency and increases visibility across the entire network infrastructure.
What are the key features of Stellar Cyber Open XDR?
What benefits or ROI should users expect?
Stellar Cyber Open XDR is implemented across various industries, including finance, healthcare, and retail, offering tailored security strategies suited to industry-specific challenges. Organizations can take advantage of this integrated approach to align security operations with industry regulations efficiently.
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