

Description
About the speakers

As a digital risk enthusiast, Stuart Allan specializes in data strategy, data and AI governance, and data protection. His expertise lies in helping organizations understand and harness their digital and data assets, establish robust governance and control mechanisms, and maximize the value of their data. With over 15 years of experience in financial services and business and technology consulting, he currently leads the data governance capability for UK EY Risk. Additionally, Stuart's in-depth experience with EY's Trusted AI Framework enables him to guide organizations in building trust in AI and ensuring safe innovation.

Pieter Joubert heads third‑party risk management at OpenAI, where he oversees the company’s rapidly evolving vendor and supply chain ecosystem to ensure that AI systems operate under rigorous governance and compliance controls. Before joining OpenAI, he spent more than two decades as a cybersecurity and privacy governance leader at PwC, helping Fortune 500 and FTSE organizations design and transform their GRC programs. Pieter will share how AI is reshaping GRC. Expect candid insights on balancing AI‑driven efficiency with human judgment and strong governance frameworks as he explores the risk‑versus‑opportunity equation.

Guru Sethupathy is the GM of AI Governance at Optro. Previously, he was the founder and CEO of FairNow (now part of Optro), a governance platform that simplifies AI governance through automation and intelligent and precise compliance guidance, helping customers manage risks and build trust and adoption in their AI investments. Prior to founding FairNow, Guru served as an SVP at Capital One, where he led teams in building AI technologies and solutions while managing risk and governance. Guru also spent time at McKinsey, where he advised Fortune 100 leaders on harnessing the power of analytics and AI while managing risks. All told, Guru has spent two decades in the AI space, spanning academia, corporate, and start-up roles, conducting research on AI systems and their implications for business value, risks, and the workforce. He has a BS in Computer Science from Stanford University and a PhD in Economics from Columbia University.

Accomplished cybersecurity executive with over 25 years of experience leading security organizations across public and private sectors, including financial services, technology, and government. Patricia Titus has designed, implemented, and transformed global information security programs, earning recognition as a trusted leader in highly regulated industries. She has held C-level and executive positions at Booking Holdings, Markel Corporation, Freddie Mac, Symantec, Unisys, and the TSA. Her career blends deep technical expertise with business and operational leadership, shaped by senior roles in sales, marketing, engineering, and security. She is known for building high-performing teams, guiding both early-stage organizations and mature enterprises, and integrating security into business strategy. Having worked and lived in Japan, Saudi Arabia, Germany, Africa, and the U.S., Patricia brings a truly global perspective to cybersecurity leadership. Currently, she serves as Field Chief Information Security Officer at Abnormal AI, where she advises customers on resilience, risk management, and the future of AI-driven security.
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