AI adoption inside large organizations continues to accelerate, but many security teams are working to balance speed with safety. These CISOs are shaping how enterprises set guardrails, design model risk frameworks, and build policies that keep sensitive data protected while still enabling AI driven innovation.
Steve Pugh, CISO, Intercontinental Exchange
Pugh guides secure automation efforts in a regulated environment. He supports model risk scoring, governance controls, and strict oversight for internal AI tools used across financial markets.
Joel Wallenstrom, former CEO and security lead, Wickr Enterprise
Wallenstrom has shaped secure communication platforms and AI assisted analysis. His work centers on privacy controls and reducing model exposure to sensitive messaging data.
Anshu Gupta, Investor, SVCI
Gupta enforces strong data boundaries for AI systems in consumer health apps. He prioritizes data minimization, API controls, and governance across product teams.
Michael Mead, Principal Information Security Specialist, Amway
Mead leads secure AI adoption in manufacturing and IoT environments. He has guided internal review processes, validation steps, and model behavior monitoring.
Meredith Harper, CISO Advisor, SYN Ventures
Harper drives joint security and privacy governance for AI used in drug discovery. She focuses on data ethics, model scoring, and oversight of sensitive research environments.
Secure AI adoption depends on clear policies, strong guardrails, and leaders who can guide their organizations through rapid change. These CISOs continue to set the tone for responsible and safe use of AI inside the enterprise.