What governance mechanisms ensure safe AI in regulated settings?

Chris Leone

Executive Vice President, Leading AI Agents Team and Managing HCM, SCM, and CX Across Fusion Apps · Oracle

Engineered Governance

Chris Leone says they engineer governance into the product via an Enterprise Operating Envelope, Outcome Trust harness and Outcome Receipt, because governing an agentic harness is an engineering problem.

The answer starts at 7:52.

BH

Beth Hiatt

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

Control Plane

Beth Hiatt says you have to make sure your control plane and risk management capabilities are in place, alongside focusing on high-value AI use cases, to balance risk and protect the firm's assets.

The answer starts at 2:35.

Maor Hod

Co-Founder and CEO · Dash Security

Runtime Protection

Maor Hod says his company gives runtime protection for every AI interaction, providing guardrails to block things while letting customers adopt AI confidently without slowing the organization.

Rob Allen

Chief Product Officer · Threatlocker

Zero‑Trust Cloud Access

Rob Allen says his company introduced zero-trust cloud access, which limits which devices can reach cloud resources, citing a policy that phones without an agent can't access Office 365.

Ajay Swamy

Senior Executive Director - GenAI Products, AIML Platform Management and Governance · Jpmorganchase

Auditability and Oversight

Ajay Swamy says auditability and oversight are central: any model in a business-critical process must be auditable end to end and explainable to risk committees, customers, and regulators, with ongoing oversight in production.