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Matthew Carroll, CEO and co-founder of Immuta, joins the Eye on AI podcast to explore how data access governance is evolving in the age of generative AI.

As AI drives a surge in both human and non-human data consumers, traditional security models are no longer enough. Matthew explains how Immuta automates compliance, enforces policies across global jurisdictions, and scales secure access for enterprises—from blinded clinical trials in pharma to cross-border data sharing.

Discover why AI-powered governance agents, risk-based access controls, and native cloud integration are the future of compliant, scalable data use.

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(00:00) How Immuta Governs Data in the AI Era
(02:59) Security Alone Isn’t Enough in AI
(05:24) From U.S. Intel Roots to Immuta’s Platform
(07:38) Pharma Trials: Protecting Billions in Drug Development
(12:58) The Data Marketplace & Access Negotiations
(16:07) Why Native Integration Beats Proxy Models
(20:33) Managing Data Across Borders & Sovereignty Laws
(25:33) The Data Governor Bottleneck (and AI Solution)
(31:05) Inside Immuta’s SaaS Model & User Roles
(33:26) Big Data Lessons Driving AI ROI
(41:05) The Growing Data Governance Market
(45:48) Storage Portability & Apache Iceberg Explained
(48:32) Future Shift to Risk-Based, AI-Driven Access

#279 Matthew Carroll: Immuta’s Approach to Secure, Scalable Data Access in the Age of AI

Eye On A.I.

#279 Matthew Carroll: Immuta’s Approach to Secure, Scalable Data Access in the Age of AI