Cyware Cyber Fusion vs DNIF HYPERCLOUD comparison

Torq is the enterprise AI SOC solution that effectively combines adaptive insights and automation to handle critical threats efficiently. It manages threat lifecycles, swiftly moving from triage to response, ensuring effective risk management.

Torq is designed to streamline security operations by aggregating telemetry across your security stack. It investigates significant risks and manages threats from triage to containment and remediation. This AI-driven tool enhances the capabilities of your SecOps team, allowing them to achieve more impactful results without introducing complicated processes.

• Adaptive Agentic Insights: Provides real-time threat intelligence tailored to specific security challenges.
• Automation: Automates responses to security incidents, minimizing manual intervention requirements.
• Threat Lifecycle Management: Comprehensive handling of threats from detection to remediation.
• Telemetry Aggregation: Integrates data across platforms for a unified security overview.

• Efficiency: Users notice significant reductions in time spent managing threats.
• Risk Reduction: Enhanced ability to identify and address critical threats promptly.
• Resource Optimization: Allows teams to allocate effort to other critical tasks by reducing manual security operations.
• Scalability: Adaptable to meet the demands of growing or changing infrastructures.

In industries like finance and healthcare, Torq shows effectiveness by adapting to specific risk scenarios often encountered in these fields. Its integration with existing infrastructures makes it a valuable asset for maintaining stringent security standards, essential for protecting critical data and operations in diverse high-stakes environments.

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.