Your AI Fails on Data, Not Models

How to make enterprise data trustworthy, control what AI can access, and stay compliant with evolving U.S. and state requirements.

September 10, 2026

14:00 CEST

12 Cuts Brazilian Steakhouse I 18010 Dallas Pkwy, Dallas

Speakers

Anzar Hasan

Vice President of AI Security and Governance at Arsh.AI and an IEEE Senior Member

With more than 40 years of technology leadership, he specializes in AI governance, cybersecurity, data governance, privacy, compliance, and enterprise risk

LaMont Wheat

Executive AI Orientation & Pre-Delegation Literacy Advisor

Executive AI Orientation & Pre-Delegation Literacy Advisor helping leaders recognize how AI and agentic digital intelligence shift authority, judgment, and decision-making before organizations accelerate adoption

Noah Troxell

Strategic Account Manager at Andersen

Noah has 9+ years of experience in sales and account management and deep expertise in supply chain, logistics, and HRIS systems. He's passionate about using technology and AI to boost efficiency and drive business growth.

Agenda

3:30 - 4:00

Registration & Welcome Drinks

4:00 - 4:10

Welcome & Opening Remarks

4:10 - 4:25

From Policy to Runtime: Governing What AI Can Access, Decide, and Act On

4:25 - 4:40

Before AI Can Be Governed, Humans Must Be Oriented

4:40 - 5:00

Q&A Session

5:00 - 5:30

Executive Roundtable: Is Your Data Governance Ready for AI That Retrieves, Combines, and Acts on Enterprise Information?

Can you trust the data your AI is using?
Does your AI see more than it should?
Do you know where your AI’s answers come from?
Who owns AI data governance when something goes wrong?
Can one AI governance model work across different state rules?

5:30 - 7:00