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#157 - Low noise threat detection with Joshua Neil, Founder at Alpha Level

The Cybersecurity Defenders Podcast

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Navigating the Complexities of Cybersecurity Detection

This chapter explores the evolution of machine learning in cybersecurity, contrasting traditional methods with modern deep learning approaches. It addresses the challenges of false positives in anomaly detection and discusses the development of the threat detection software Pathscan, which improves threat identification while managing alert fatigue. The conversation emphasizes the importance of balancing true and false positive detections to enhance the efficiency and effectiveness of security operations.

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