Building an AI Governance Program: Lessons from the Enterprise

As AI tools move from pilot projects to enterprise-wide adoption, security and governance teams face a new challenge: how to manage risk without slowing innovation.

Join us for a live discussion as Thomas Martin, founder and CEO at NephoSec and former CIO at GE, joins Jeremy Snyder, CEO at FireTail to explore what happens when new technologies like generative AI are introduced at scale inside large organizations.

Together, they will share real world lessons on building effective AI governance programs, balancing visibility and control with the need to enable secure experimentation across distributed teams.

​What you’ll learn

​On this free 45-minute webinar, you’ll discover:

• ​How enterprises identify and prioritize new risks when adopting emerging technologies like AI
• ​The trade-offs between common approaches, including proxies, blocking and employee policy controls
• ​Why proxy-based solutions often fall short and how out-of-band visibility provides a stronger foundation
• ​How to collect the data needed to build a business case for AI governance
• ​Lessons from real incidents at McDonald’s, Microsoft, OpenAI and Salesforce that highlight the risks associated with AI adoption
• ​Practical guidance for IT and security leaders managing board risk, innovation pressure and compliance expectations.

​Who Should Attend

​This session is designed for technology and security leaders who are guiding their organizations through AI adoption. It will be especially valuable for CISOs, CIOs and IT decision makers who are exploring or managing enterprise AI programs. The session will also provide valuable insights for security architects, platform teams and governance professionals who are building or refining AI controls. Basically, anyone interested in achieving the right balance between innovation, compliance and risk management when it comes to AI.