In this episode, Tom Fox welcomes George Tziahanas, VP of Compliance and Associate General Counsel at Archive360, who brings a practical legal and governance perspective to the challenges of AI and data governance.

George argues that organizations must go beyond simply storing data and instead prove their integrity, lineage, provenance, and accountability so the data is defensible for compliance and AI use. He also believes AI governance should follow the model of mature security programs, with clear ownership, governing councils, and risk frameworks that make responsibility visible to regulators. For him, the path to compliant, defensible data starts with strong inventories, governed environments, and risk-tiered oversight that protects sensitive uses while still enabling innovation.

Key highlights:

Walking Upstream: Defending AI Data and Systems

Who Is Ultimately Responsible for AI Governance

Zubulake rulings reshape e-discovery compliance playbook

Dark Data Risks in DOJ Compliance Programs

Mapping data inventory back into legacy systems

Simple risk tiering for AI compliance oversight

Resources:

Archive360

George Tziahanas on LinkedIn

Tom Fox

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