Zero trust for AI - Securing agents, models, and data
Learn how Zero Trust principles, least-privilege access, immutable protection, ransomware detection, and trusted recovery help secure AI agents, models, and enterprise data.
Speakers
Matt Trudewind
Technical Solutions Specialist – Security, NetApp
Matt is a Security Evangelist at NetApp with a focus on ransomware prevention, cyber resiliency, and data-centric portfolio security. With 25 years of IT experience, he specializes in Zero Trust, Data Governance, Encryption, Security Tools, and Best Practices. Matt has held various roles at NetApp, including Product Manager and Technical Marketing Engineer for ONTAP Security. He also has extensive expertise in networking, SMB/CIFS, and Microsoft technologies. Matt's passion lies in driving the latest security features and capabilities to ensure customer success.
Minith Patel
Minith Patel is a Senior Solutions Architect for AI & Analytics at NetApp with 17+ years of IT experience and deep expertise in enterprise architecture, cloud, analytics, and AI infrastructure and process. He helps organizations build secure, scalable, and resilient AI and data platforms.
Related resources
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