Episode 53 of Cybersecurity Business with Fexingo dives into how enterprise security teams are using threat intelligence platforms (TIPs) to shift from reactive defense to predictive offense. Lucas and Luna explore a real-world case: how a Fortune 500 retailer in Q2 2026 used a TIP to detect a supply-chain attack targeting its third-party logistics provider before any data was exfiltrated. They break down the TIP's role aggregating indicators of compromise from open-source feeds and industry sharing groups, correlating them with internal telemetry, and surfacing a high-confidence alert that bypassed traditional signature-based tools. The conversation covers the platform's ability to prioritize vulnerabilities using the EPSS scoring system, the shift from human-driven threat hunting to automated intelligence feed ingestion, and why adoption is accelerating as AI-generated phishing campaigns outpace manual analysis. Lucas and Luna also discuss the cost-benefit equation for mid-market firms, the challenge of false positives, and whether TIPs will eventually become built into standard SIEM solutions. The episode closes with a reflection on the tension between prediction and privacy.
#ThreatIntelligence #CISO #EnterpriseSecurity #CyberDefense #PredictiveSecurity #TIP #SupplyChainAttack #EPSS #SIEM #ThreatHunting #AIPhishing #Fortune500 #SecurityOperations #CyberThreats #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #Cybersecurity
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