This discussion at theCUBE and NYSE Wired: Cyber Security examines confidential computing and data sovereignty for enterprise cybersecurity. Brittany Kaiser of Alpha Compute, chief executive officer, and Anuj Jaiswal of Fortanix, chief product officer, explore strategies for protecting sensitive data and proprietary artificial intelligence, AI models. The session is hosted by Gemma Allen with co-hosts John Furrier and David Vellante and is framed by theCUBE Research.
Jaiswal explains confidential computing protects data in memory and ensures end-to-end encryption and attestation, which reduces the need to trust infrastructure providers. They highlight attestation, control plane design and runtime policy enforcement as core elements for protecting proprietary AI models in enterprise environments. Kaiser recommends combining hardware, firmware, software and staff training to reduce breach risk and achieve true data sovereignty. They outline goals of zero data visibility and provide practical steps for scalable deployment across finance, healthcare and government sectors.
Topics covered include confidential computing fundamentals, attestation, control planes, runtime policy enforcement, data privacy and deployment considerations for enterprise AI and cybersecurity. The conversation provides actionable insights for security architects, compliance teams and technology leaders who evaluate confidential AI, encryption strategies and governance frameworks.
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This discussion at theCUBE and NYSE Wired: Cyber Security examines confidential computing and data sovereignty for enterprise cybersecurity. Brittany Kaiser of Alpha Compute, chief executive officer, and Anuj Jaiswal of Fortanix, chief product officer, explore strategies for protecting sensitive data and proprietary artificial intelligence, AI models. The session is hosted by Gemma Allen with co-hosts John Furrier and David Vellante and is framed by theCUBE Research.
Jaiswal explains confidential computing protects data in memory and ensures end-to-end encryption and attestation, which reduces the need to trust infrastructure providers. They highlight attestation, control plane design and runtime policy enforcement as core elements for protecting proprietary AI models in enterprise environments. Kaiser recommends combining hardware, firmware, software and staff training to reduce breach risk and achieve true data sovereignty. They outline goals of zero data visibility and provide practical steps for scalable deployment across finance, healthcare and government sectors.
Topics covered include confidential computing fundamentals, attestation, control planes, runtime policy enforcement, data privacy and deployment considerations for enterprise AI and cybersecurity. The conversation provides actionable insights for security architects, compliance teams and technology leaders who evaluate confidential AI, encryption strategies and governance frameworks.
