ThreatQuotient’s ThreatQ platform streamlines threat intelligence feed aggregation by collecting, normalizing, and analyzing data from multiple sources, including OSINT, commercial feeds, and SIEM systems. Its DataLinq Engine unifies structured and unstructured data, correlating relationships and prioritizing insights through customizable scoring. This process reduces noise, enhances visibility, and enables faster, data-driven responses. By providing a single, normalized view of threats, ThreatQ helps organizations improve detection accuracy, minimize false positives, and build a cohesive cybersecurity strategy that accelerates investigation and strengthens proactive defense.

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