Zach Lockhart is a Sr Cybersecurity Incident Handler with expertise in incident response, threat hunting and intelligence, and digital forensics. He specializes in translating complex security incidents into SOC-ready detection and response strategies.

At the 2026 RH-ISAC Summit, his research examines Deceptive Alignment in Artificial Intelligence and is framed within the context of the widespread, and often uncritical, adoption of enterprise AI Systems. The session will highlight how misaligned or deceptive model behavior introduces new trust and cybersecurity risks, and outlines practical approaches for detecting, governing, and operationalizing defenses against these risks within cybersecurity programs. This work is presented in a personal capacity.