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AI Security Architecture: How Data-Centric Models Transform Enterprise Security with Mohit Tiwari
Manage episode 499989708 series 3533050
TruStory FM에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 TruStory FM 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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 of AI Security
The episode concludes with insights into emerging challenges in AI security, including the need for better business purpose frameworks and advanced detection capabilities for sophisticated attacks like ransomware.
Resources
- Symmetry Systems website
- Connect with Symmetry Systems on LinkedIn
- Learn more about Paladin Cloud
- Learn more about Cyberproof
- Got a question? Ask us here!
- (00:04) - Welcome to Cyber Sentries
- (01:02) - Meet Mohit
- (03:06) - Application Examples
- (08:15) - Key Metrics
- (10:52) - Effects of AI
- (14:16) - Environments and Interfaces
- (16:39) - Tying It Together
- (18:19) - AI in the Process
- (22:51) - Model Decisions
- (25:41) - Research to Project
- (29:13) - Problems
- (31:25) - Wrap Up
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