When Machines Impersonate: Using IP and Network Intelligence​ to Detect AI-Driven Threat Actors

Watch our session from the Threat Track at the SANS Fall Cyber Solutions Fest 2025

As artificial intelligence becomes increasingly accessible, cybercriminals are harnessing its power to mimic legitimate user behavior with alarming precision. From evading traditional detection systems to staging sophisticated social engineering attacks, AI-driven threat actors are blurring the line between real and synthetic activity.

This webinar explores how organizations can leverage IP and network-layer intelligence to counter these evolving threats. We break down real-world examples of AI-driven impersonation, highlight the weaknesses of legacy security approaches, and demonstrate how enriched IP data, traffic analysis, and behavioral baselining help expose anomalies that AI-generated activity can’t fully conceal.