AI-enabled cyber threats are accelerating rapidly, enabling attackers to produce convincing phishing content, deepfake audio and video, impersonation messages, and automated social engineering campaigns at a statewide scale. As Texas expands its coordinated cybersecurity posture and prepares for centralized threat defense under the new Texas Cyber Command, agencies must strengthen their ability to detect and respond to these advanced attack vectors. This session delivers a vendor-neutral framework for identifying AI-generated malicious content and building resilient human-centric defensive workflows. Attendees will learn how to recognize linguistic, behavioral, and contextual indicators of synthetic media; integrate verification techniques into training and operational processes; and develop incident response steps specific to AI-generated social engineering. Drawing on emerging patterns across government, K–12, higher education, and critical infrastructure environments, the session translates complex threat behaviors into practical, implementable techniques for Texas’s diverse public-sector landscape. Participants will leave with actionable methods they can immediately embed into security operations, workforce readiness programs, and organizational policies to mitigate AI-driven threats and strengthen cyber resilience.