About this episode

Tom Fox interviews George Tziahanas about the importance of data defensibility in AI governance and compliance.

Innovation occurs across many areas, and compliance professionals need not only to be ready for it but also to embrace it. Join Tom Fox, the Voice of Compliance, as he visits with top innovative minds, thinkers, and creators in the award-winning Innovation in Compliance podcast. In this episode, host Tom visits with George Tziahanas, VP of Compliance and Associate General Counsel at Archive360. Tom interviews George Tziahanas on why organizations must move beyond data storage to providing data integrity, lineage, and accountability as a foundation for AI readiness. George defines “data defensibility” as the ability to defend how AI systems were trained and operate when AI decisions are not easily explainable, such as in rules-based automation, emphasizing upstream data provenance, monitoring, and audit trails. They discuss increasing regulator and stakeholder focus on authority and accountability, and how litigation can shape compliance, citing early e-discovery practices influenced by the Zubulake v. UBS Warburg decision and enforcement context involving former New York AG Elliot Spitzer. George uses the Mercor breach to show supply-chain and confidentiality risks in AI training…

People in this episode

Host: Tom Fox

Guest: George Tziahanas

Topics covered

• data defensibility
• AI governance
• compliance
• data integrity
• regulatory focus
• data governance
• supply-chain risks

Keywords

• data integrity
• AI readiness
• compliance professionals
• data lineage
• audit trails
• regulatory accountability
• data governance
• dark data
• legacy archives

Mentioned in this episode

Organizations: Archive360, ISO, NIST

More episodes of Innovation in Compliance with Tom Fox

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• Data Defensibility: Enterprise Agentic AI: Governance, Auditability, and the AI Gateway Layer with Nikunj Bajaj · June 2, 2026 · 30 min
• Capability without Governance Leads to Instability: Integrated GRC with Noor Aziz · May 26, 2026 · 25 min

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