Mitigating AI Risks with Confidential Computing in the Cloud
In this webinar, we explore the critical importance of safeguarding in-use code and data in the context of emerging AI LLMs. Through attack demonstrations and real-world use cases in financial services and healthcare, we illustrate how a Confidential Computing-based zero-trust architecture enables organizations to meet escalating demand AI technologies with confidence.
In this webinar, you will learn how:
- Confidential Computing enhances app and data security against insider threats.
- This technology addresses enterprise challenges in secure collaboration.
- Confidential Computing is applied to reduce risks in cloud-hosted AI technology, such as LLMs.
Resources
In this webinar, we explore the critical importance of safeguarding in-use code and data in the context of emerging AI LLMs. Through attack demonstrations and real-world use cases in financial services and healthcare, we illustrate how a Confidential Computing-based zero-trust architecture enables organizations to meet escalating demand AI technologies with confidence.
In this webinar, you will learn how:
- Confidential Computing enhances app and data security against insider threats.
- This technology addresses enterprise challenges in secure collaboration.
- Confidential Computing is applied to reduce risks in cloud-hosted AI technology, such as LLMs.
