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:
George Tziahanas on LinkedIn
Tom Fox
