A Comprehensive View of Potential Threats

The ThreatQ data-driven threat intelligence platform features DataLinq Engine, which correlates and normalizes data from multiple sources to provide a clear and holistic view of threats and a single source of truth.

Key Benefits

Improved Threat Detection, Investigation & Response

Curate, relevant threat intelligence enhances visibility, identifies hidden patterns, and strengthens proactive threat detection, investigation and response.

Reduced Incident Response Times

Prioritize actionable intelligence and streamlines workflows, allowing security teams to respond faster and more effectively to emerging threats.

Reduced False Positives

By applying context and prioritization, noise is minimized, reducing false positives, and enabling teams to focus on real threats with greater accuracy.

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USE CAsE | feed aggregation whitepaper

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Use Case:
Feed Aggregation

Threat data aggregation is the process of collecting, normalizing, and analyzing cybersecurity threat intelligence from multiple sources to provide a comprehensive view of potential threats and vulnerabilities.

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