The phase of comfortable AI experimentation is officially over. For modern enterprises, the challenge has dramatically shifted from accessing models to governing, securing, and operating them across highly fragmented ecosystems.
In this 60-minute panel, AI and security leaders from CrowdStrike, ServiceNow, Itron, MNP Digital, and Adient joined Cyberhill COO Jake McAndrew for a raw, unvarnished discussion on the structural, technical, and operational hurdles of scaling enterprise AI.
What Was Covered
- Zone-Based Governance — MNP’s Andrew Buffone shared a user-persona approach: match governance controls to knowledge workers, citizen developers, and professional IT — with different promotion paths for each zone.
- Productivity AI vs. Operational AI — The panel drew a sharp line: productivity AI creates efficiencies but doesn’t generate revenue. Operational AI drives real ROI — and requires different governance.
- You Can’t Govern What You Can’t See — CrowdStrike’s Mark Murtagh laid out the chain: see it, control it, protect it, govern it. Three-quarters of employees are using unsanctioned AI, and less than a third of existing tools have their AI capabilities audited.
- Sovereign AI ≠ Secure AI — Patrick McGarry (ServiceNow) was direct: sovereignty is a data jurisdiction concept, security posture is completely separate. Private AI infrastructure solves residency — not cybersecurity.
- Edge AI Governance — Itron’s Anant Raigaga explained why governing edge fleets is a lifecycle problem, not a deployment problem: firmware-grade rigor, automatic rollback on drift, and treating captured devices like “beautiful-looking bricks.”
Watch the full session:
Panelists
- Jake McAndrew — COO, Cyberhill Partners (Moderator)
- Patrick McGarry — Federal Chief Data Officer, ServiceNow
- Andrew Buffone — Director, Advanced Analytics, MNP Digital
- Anant Raigaga — Director, IT Enterprise Architect, Itron
- Richard Doak — Director, Innovation & Transformation, Adient
- Mark Murtagh — Global Vice President, Solution Architects, CrowdStrike
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