Deploying AI Agents in Highly Regulated Industries
The pressure to move on AI often butts heads with the realities of compliance, security, and legal review. The challenge isn’t deciding whether to deploy agents – it’s figuring out how to do it without exposing sensitive data and creating risk for the business.
Michael Domanic
Head of AI, Section
Ryan Day
Field CISO, Glean
How to move fast with agents when the stakes are high
Join Section’s Head of AI, Michael Domanic, and Glean Field CISO, Ryan Day, on September 11 from 1 - 2 pm ET for a conversation on how to navigate the path between innovation and regulation. They’ll answer questions like:
- What early decisions matter most in a regulated enterprise at the start of its agentic journey?
- What’s the framework for establishing a low-friction governance model that allows for both innovation and strong guardrails?
- What considerations are required when connecting internal data to AI systems?
- What are the signs that you’re governing AI too rigidly?
- When do security policies become overcorrections that limit AI impact?
They’re taking your questions, too – so join us for free and bring your hard-hitters.
Meet your speakers
Michael Domanic
Head of AI, Section
Michael Domanic leads AI transformation at Section, where he builds the strategy, governance, and agent infrastructure that make organizations genuinely AI-native. Previously Head of AI at UserTesting, he drove enterprise-wide AI adoption across the company, turning AI from a pilot initiative into an embedded part of how teams work. With over a decade in AI, he specializes in helping organizations move from experimentation to lasting operational impact.
Ryan Day
Field CISO, Glean
Ryan Day is Field CISO at Glean, where he leads enterprise AI security, governance, and risk strategy for customers adopting the company’s Work AI platform. He previously spent nearly eight years at Block (formerly Square) as Product Security GRC Lead, building security and compliance programs for large-scale fintech and AI-enabled products. His work focuses on translating complex security requirements into practical AI governance frameworks that enable safe, scalable enterprise AI deployments.
