In this episode, Tom Fox welcomes George Tziahanas, Associate General Counsel and VP of Compliance at Archive360, brings a practical legal and governance perspective to the challenges of AI governance and data governance. He argues that organizations must go beyond simply storing data and instead prove its integrity, lineage, provenance, and accountability so the data is defensible for compliance and AI use. Tziahanas 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