Helping Organizations Manage AI Risk Through Governance & Security
Artificial Intelligence is transforming how organizations operate, innovate, and make decisions, but it also introduces new security, governance, and business risks that many organizations are unprepared to manage. I created this platform to help leaders, security professionals, and technology teams better understand how to govern, secure, and manage AI responsibly across the enterprise. My focus is on helping organizations build AI systems that are trusted, secure, compliant, and resilient throughout the AI lifecycle. As a Senior Data & AI Security Engineer at IBM, I work with some of the world’s largest financial institutions to help secure data, protect AI deployments, and strengthen cybersecurity strategies across hybrid cloud environments. My work includes AI security, data protection, governance, and emerging areas such as quantum-safe readiness. I am also a contributing author to the book The AI Shift: Thriving in a World With Smart Machines and Robots, where my chapter, “Unifying AI Governance and Security,” introduces a practical framework for managing AI risk across data, models, usage, and infrastructure. With over 25 years of experience across information technology, cybersecurity, technical architecture, and hybrid cloud environments, I’m passionate about helping organizations and professionals prepare for the next wave of technological disruption. Through this platform, I share insights on AI governance, AI security, cybersecurity resilience, and emerging technology risks. I hold an MBA in Information Security and industry certifications, including CISSP,CCSP, and CBCP.