EVP, CISO
U.S. Bank
Ann Barron‑DiCamillo is Chief Information Security Officer at U.S. Bank, leading enterprise information security strategy and ensuring alignment across business priorities, regulatory expectations, risk, and cost.
She joined in June with 27+ years of global cybersecurity leadership, most recently at Citi, where she led cyber operations and technology optimization to reduce risk and drive modernization.
Previously Director of U.S.-CERT and a senior leader at American Express, Ann brings deep expertise in resilience, governance, and execution at scale.
A recognized leader in the financial sector space, Ann was previously Chair of the Board for the Financial Services Information Sharing and Analysis Center (FS-ISAC) and will serve a three-year term as the Chair of the Financial Services Sector Coordinating Council (FSSCC) beginning in August.
She holds degrees from American University and Baylor University, is a Harvard Kennedy School fellow, holds a Certified Information Systems Security Professional (CISSP) certification since 2004, and an active Top Secret security clearance.
As artificial intelligence reshapes how financial services operate, it is also fundamentally redefining the nature of fraud and cybersecurity risk. What was once managed as a perimeter defense or a back-office risk function has become a continuous, enterprise-wide leadership challenge—where threats evolve in real time, at machine speed, across every customer interaction and internal workflow.
This panel brings together senior banking and financial services leaders to explore how the AI era is forcing a redefinition of ownership, accountability, and decision-making in cybersecurity and fraud prevention. Synthetic identities, deepfake-enabled authorization attacks, and fully automated fraud chains are no longer theoretical risks—they are active forces reshaping trust, customer experience, and operational resilience.
The conversation will focus on what leadership looks like in this environment: how executives balance innovation with security, how accountability is structured when AI systems participate in decision-making, and how institutions can shift from reactive defense models to proactive, AI-native risk governance. At its core, this is a discussion about leadership under conditions where trust, speed, and security are now inseparable.