ThreatQuotient’s DataLinq Engine enables data-driven security operations by integrating diverse data sources, tools, and teams to accelerate threat detection, investigation, and response. It processes data through five stages: ingesting, normalizing, correlating, prioritizing, and translating. This approach eliminates silos, reduces redundant data, and delivers context-rich intelligence for better decision-making. The engine continuously updates threat information through a feedback loop, ensuring SOC teams act on the most relevant data. By unifying and automating workflows, DataLinq improves detection accuracy, reduces noise, and helps security teams respond faster and more effectively.

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