Episode
AI Security Architecture: How Data-Centric Models Transform Enterprise Security with Mohit Tiwari
- Published
- Aug 13, 2025
- Duration seconds
- 2016
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- https://share.transistor.fm/s/0b5f523c
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Summary
AI-Powered Cloud Security: From Research Lab to Enterprise Reality In this episode of Cyber Sentries, John Richards talks with Mohit Tiwari, co-founder and CEO of Symmetry Systems and associate professor at UT Austin, about transforming academic research into practical enterprise security solutions. Mohit shares his journey from academic research to founding a company that's revolutionizing how organizations approach data security in the age of AI. Bridging Academia and Industry Mohit discusses how his research team at UT Austin developed innovative approaches to data security and privacy, working with organizations like NSA, Lockheed, and General Dynamics. Their work led to founding Symmetry Systems in 2020, focusing on operationalizing data flow security across enterprise environments. The Evolution of Data Security The conversation explores how traditional asset-centric security approaches are giving way to data-centric models. Mohit explains how Symmetry Systems helps organizations protect data flows across multiple applications and platforms, making security more efficient and effective than traditional bespoke solutions. Questions We Answer in This Episode: How can organizations move from bespoke security solutions to systematic approaches? What role does AI governance play in modern enterprise security? How can companies effectively manage data security across different AI implementation scenarios? Key Takeaways: Data-centric security approaches are becoming crucial as AI adoption increases Organizations need interoperable policy languages for effective AI governance Purpose-built, smaller AI models can be more effective than large, general-purpose ones Security solutions must evolve to handle the massive scale of modern enterprise data Looking Ahead: The Future…