ThreatQuotient and Feedly integrate to enhance threat intelligence by automating the collection and analysis of data from articles, blogs, social media, and RSS feeds. Feedly’s AI engine uses NLP and machine learning to filter noise, extract IoCs, CVEs, and malware information, and enrich context for security teams. This intelligence is imported into ThreatQ to create comprehensive, easily accessible reports that improve investigation efficiency. The integration helps track emerging vulnerabilities and zero-days, link threat indicators to actors and tactics, and streamline proactive threat monitoring and response for faster, data-driven decision-making.

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