What is the most important governance for enterprise AI products?

Danny Manimbo

Managing Principal · Schellman

Management Oversight

Danny Manimbo says management oversight is the governance measure he can't underscore, because if an AI governance program is delegated to a compliance manager it dies; programs need ownership upward and laterally across business units.

The answer starts at 21:05.

Brennan Baybeck

SVP & CISO - Customer Success Services · Oracle

Strict Data Classification

Brennan Baybeck says strict data classification is a necessary governance measure for AI deployments, calling it a foundational security principle that has never been more important in this new era.

Kumar Veetrag

Chief Technology Officer · Enparadigm

Continuous Oversight

Kumar Veetrag says building trust in AI requires continuous oversight, human judgment and a commitment to ethical governance, rather than treating AI as a completely autonomous decision maker.

Rashmi Shetty

Senior Director - Enterprise Generative AI Platform · Capital One

Evaluating the Whole System

Rashmi Shetty says the key in a well-governed agentic system is evaluating the whole agentic system, not just the LLM model alone, because evaluations provide an evidence package of whether the system accomplished its intended task.

The answer starts at 14:53.

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Beth Hiatt

SVP|Product Management|Data Governance and Responsible AI @LPL Financial · Lpl Financial

AI Data Infrastructure Blueprint

Beth Hiatt says companies should have a blueprint for AI data infrastructure and a control plane in place within the first 90 days, before branching out into AI use cases, because she says they underestimate that stack and controls.

The answer starts at 5:20.

John F Donovan

Principal Research Director · Info-Tech Research Group

Senior Leadership Involvement

John F Donovan says a client’s senior-most leaders should always be part of governance engagements, because governance is a business problem, not an IT problem.

Jacob Thomas

Manager of Information Security · Texas Children'S Hospital

Identity Access Control

Jacob Thomas says identity access control is the key governance measure, arguing it should be part of the infrastructure, since agents given wholesale system access raise security and audit-trail questions.

Muralidhar Vemulapalli

Chief Enterprise Architect/ Acting CTO · Arkansas Blue Cross And Blue Shield

Explainability and Auditability

Muralidhar Vemulapalli says the most important thing is explainability and auditability, since delivering on explainable AI requires transparency, traceable outputs and complete lineage.

Shahir Daya

Chief Product & Technology Officer · Zafin

Workflow-Level Controls

Shahir Daya says the first move is to define controls at the workflow level, since controls built around individual agents won't scale—one agent can work across many workflows, and one workflow can be run by many agents.