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Daniel Rohrer

5

talks

VP of Software Product Security NVIDIA

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With great power comes great responsibility – and the need for confidentiality. This talk explores how confidential computing technology can act as a powerful shield for your AI deployments. We’ll show how Confidential Computing and confidential accelerators safeguard sensitive data and algorithms, even during processing, to ensure that your AI workloads remain protected throughout their life cycle.

This Session is hosted by a Google Cloud Next Sponsor.
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Any new technology brings potential new risks, and generative AI is no exception. In this session, we will cut through the FUD around gen AI deployments - helping you understand the real risks, both existing and novel, with deploying AI systems in the cloud. We’ll also provide a framework for how to support the safe use of AI in your organization, so that security, privacy, and risk concerns, real and imagined, can be addressed effectively without slowing business velocity.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

The future of cloud computing is shifting to private, encrypted services where people can be confident that their workloads stay verifiably isolated and protected. Explore the latest advances in confidential computing and confidential accelerators, and how they can be used to not only preserve your data confidentiality, but to free it for secure collaboration across teams, companies, and borders. You’ll see demos focusing on providing holistic data confidentiality and AI/ML model protection. Welcome to the future of secure data freedom!

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Any new technology brings potential new risks, and generative AI is no exception. In this session, we will cut through the FUD around gen AI deployments - helping you understand the real risks, both existing and novel, with deploying AI systems in the cloud. We’ll also provide a framework for how to support the safe use of AI in your organization, so that security, privacy, and risk concerns, real and imagined, can be addressed effectively without slowing business velocity.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Any new technology brings potential new risks, and generative AI is no exception. In this session, we will cut through the FUD around gen AI deployments - helping you understand the real risks, both existing and novel, with deploying AI systems in the cloud. We’ll also provide a framework for how to support the safe use of AI in your organization, so that security, privacy, and risk concerns, real and imagined, can be addressed effectively without slowing business velocity.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.