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Bridging the AI oversight gap: Moving from policy to operationalized control

Learn to bridge the AI exposure gap by moving from static policies to automated, workflow-embedded controls that stop shadow AI in its tracks.

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Bridging the AI oversight gap: Moving from policy to operationalized control

Description

As organizations rapidly integrate AI into core operations, a dangerous "exposure gap" has emerged: Adoption is scaling, but governance controls are not. This webinar explores findings from a global survey of 822 GRC and IT decision-makers to identify why traditional oversight is falling behind, especially as agentic AI begins to bypass human decision loops. We will examine the structural failures of distributed ownership, the rise of shadow AI, and the urgent need to move from "paper-based" policies to automated, workflow-embedded controls. Attendees will receive a maturity roadmap to transition their AI governance from a reactive state to a strategic, unified risk infrastructure.

About the speakers

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.

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