Why Security Teams Are Using AI for Threat Detection episode artwork

EPISODE · Jun 8, 2026 · 8 MIN

Why Security Teams Are Using AI for Threat Detection

from Cybersecurity Business with Fexingo: Security Companies, Breaches, and Enterprise Defense · host Fexingo

On this episode of Cybersecurity Business with Fexingo, Lucas and Luna explore how enterprises are deploying artificial intelligence to detect cyber threats in real time. They examine a case study from a mid-sized financial services firm that reduced its mean time to detect from 12 hours to under 3 minutes by implementing a machine learning model trained on network traffic patterns. The hosts discuss the trade-offs between supervised and unsupervised learning, the challenge of false positives, and why human analysts remain essential. They also touch on how vendors like CrowdStrike and Darktrace are evolving their platforms. If you're a CISO or security architect evaluating AI tools, this episode provides a concrete framework for measuring ROI. #Cybersecurity #ArtificialIntelligence #ThreatDetection #MachineLearning #CrowdStrike #Darktrace #EnterpriseSecurity #Business #Technology #FexingoBusiness #BusinessPodcast #SecurityAnalytics #SOC #MDR #EndpointSecurity #NetworkSecurity #AIinCybersecurity #BreachDetection Keep every episode free: buymeacoffee.com/fexingo

Episode metadata supplied by the publisher feed · Published Jun 8, 2026

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Why Security Teams Are Using AI for Threat Detection

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This episode was published on June 8, 2026.

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