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ThreatQuotient

Threat intelligence platform for aggregating, analyzing & operationalizing TI

Threat Management
Security Operations
AI Security
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20130 Lakeview Center Plaza; Suite 400; Ashburn, VA 20147, US
2013
API

450+ Data Points Per Product and Company

Track competitive landscapes, evaluate vendor risk for investments, or find the right security stack for your clients.

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ThreatQuotient Description

ThreatQuotient develops the ThreatQ Threat Intelligence Platform, a purpose-built solution designed to help security operations teams aggregate, analyze, and operationalize threat intelligence data. The platform enables organizations to collect threat intelligence from multiple sources and apply context, priority, and categorization to make the data actionable for security teams. The ThreatQ Platform focuses on three core capabilities: threat intelligence management, security automation, and AI-powered analytics. The threat intelligence management component allows teams to centralize and contextualize threat data from various feeds and sources. The security automation functionality streamlines security operations workflows by integrating with existing security infrastructure through an ecosystem of over 450 integrations available through the ThreatQ Marketplace. The platform integrates with security tools including SIEM systems, endpoint detection solutions, firewalls, and other security technologies to enable automated threat detection, investigation, and response workflows. ThreatQuotient serves enterprise organizations, financial institutions, government agencies, and managed security service providers who need to operationalize threat intelligence within their security operations centers. The company's approach emphasizes making security operations data-driven by providing teams with prioritized, contextualized threat intelligence that reduces noise and enables faster decision-making. The platform is designed to help security teams focus on relevant threats rather than managing overwhelming volumes of raw threat data.