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How confidential computing could secure generative AI adoption



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Ayal Yogev
Contributor

Ayal Yogev is the co-founder and CEO of Anjuna, a multi-cloud confidential computing platform.

Generative AI has the potential to change everything. It can inform new products, companies, industries, and even economies. But what makes it different and better than “traditional” AI could also make it dangerous.
Its unique ability to create has opened up an entirely new set of security and privacy concerns.
Enterprises are suddenly having to ask themselves new questions: Do I have the rights to the training data? To the model? To the outputs? Does the system itself have rights to data that’s created in the future? How are rights to that system protected? How do I govern data privacy in a model using generative AI? The list goes on.
It’s no surprise that many enterprises are treading lightly. Blatant security and privacy vulnerabilities coupled with a hesitancy to rely on existing Band-Aid solutions have pushed many to ban these tools entirely. But there is hope.
Confidential computing — a new approach to data security that protects data while in use and ensures …

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