How Texas A&M University Secured Complex AI Environments

Thursday, October 01, 2026 | 3:15PM–4:15PM MT | EDUCAUSE Commons, Cybersecurity & Privacy Hub, Poster Area
Session Type: Poster Session
Delivery Format: Poster Session
As organizations adopt AI to boost efficiency, they must balance rapid innovation with increased security challenges. ARMOR (AI Readiness Model for Operational Resilience) provides a structured roadmap to guide organizations beyond AI hype toward building trustworthy, secure systems. This panel will explore ARMOR’s modular framework, designed for any AI environment to keep models reliable and audit-ready. Learn how Texas A&M University applied ARMOR to two major AI projects, moving from reactive to fully integrated, automated security. By embedding governance and security, organizations can turn AI risks into operational resilience. The session covers TAMU's chip-to-cloud security approach across six domains: governance, risk and compliance; model security; infrastructure security; secure AI operations; secure development life cycle; and data protection. ARMOR’s alignment with standards like NIST and ISO/IEC empowers organizations to deploy AI confidently and accelerate ROI.

Presenters

  • Robbie Stricklin

    Director, Cloud, App, Network and AI Security, Texas A&M University

  • Mark Whitworth

    Principal Advisor, World Wide Technology