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Thèmes / AI security

Point de vue reformulé

Secure enclaves and vetted-data AI infrastructure

J&J mitigates AI security risks by deploying large and small language models within secure internal enclaves, using only vetted and curated data, restricting public generative AI use via policy, and requiring expert review—from security and architecture teams—for every proposed generative AI use case.

Jim Swanson·Publié

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Les traductions sont destinées à la lecture ; les extraits originaux restent la source evidence.

Gen AI Present and Future: A Conversation with Jim Swanson, CIO at Johnson & Johnson | Greylock

Extrait original

To defend against threats, we’ve created secure enclaves within the company for our large and small language models, and use vetted, curated data. Additionally, we created policies that educate our employees on the risks and restrictions around use of public Gen AI and direct them towards use of our internal generative AI application. We also review every proposed Gen AI use case through a process that includes security and architecture experts.
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