How Enterprises Use Machine Learning for Insider Threat Detection

Cybersecurity Business with Fexingo: Security Companies, Breaches, and Enterprise Defense · Jul 21, 2026 · 7m · transcript

Insider threats are notoriously hard to catch—employees who accidentally expose data, or malicious actors with legitimate access. In this episode, Lucas and Luna dive into how companies like Varonis and Splunk are applying machine learning to baseline normal user behavior and flag anomalies in real time. They discuss a recent case where a mid-sized financial firm detected an account takeover via unusual database queries, preventing a $4.7 million wire fraud. The hosts explore the challenges of false positives, the importance of data labeling, and why user and entity behavior analytics (UEBA)…