Exclusive IT executive Dinner | Nashville
September 29th at
Jimmy Kelly’s Steakhouse
Topics Requested by Guests
The challenge: identity modernization for a workforce that can't carry a phone. Everyone's identity roadmap assumes a smartphone in every pocket. Mine assumes the opposite for most of my users, and I'm deploying hardware tokens to 12K people across 80+ sites in 2026. How many people in your organization are excluded from your MFA program because they don't have a device, and have you counted them?
Voice cloning has made helpdesk identity verification the weakest link in most enterprises. The attack isn't against your MFA, it's a phone call asking to reset it. When someone calls your helpdesk and says they've lost their phone and can't get in, what does your agent accept as proof that it's them? And would that hold up against a cloned voice?
Understanding how CIOs in Nashville (particularly if they are in the healthcare field) are setting up their back-end data infrastructure / lakehouses / etc. with different types of use-cases that might involve things like patient or provider identifying regulatory restrictions, etc.
Where are all the gaps and holes in AI.
Security and AI Governance and hear how different organizations are approaching both as they continue to modernize their environments. How teams are balancing innovation with security, what governance frameworks are working well, and how companies are putting practical guardrails in place as AI adoption continues to grow.
How they advocate for technology to be included in firm strategy.
How other entities are driving AI adoption.
Agentic AI production.
How AI changes the roles and skills of our team from entry level to lead?
Proposed Discussion Topics
Where AI can be used and the blind spots it creates.
How branch locations, remote users, field teams, and distributed environments change the AI security model.
How to define, monitor, and enforce what data can/cannot enter third-party AI platforms.
How to enable responsible AI adoption while reducing data leakage, compliance exposure, and misuse.
What telemetry is needed to understand when/where/how AI tools are being used across the enterprise.
How to adapt to AI-enhanced phishing, social engineering, deepfakes, automated attacks, and new incident response scenarios.