Navigating Confidential Computing in Azure “Featuring solutions by Fortanix”
Confidential computing is the protection of data in use by performing computation in a hardware-based Trusted Execution Environment (TEE). Cloud native workloads are typically protected when in transit through networking encryption and at rest, confidential computing enables data protection in memory while data is being processed. The confidential computing threat model aims at removing or reducing the ability for a cloud provider/operator and other actors in the tenant’s domain to access code and data while being executed.
Speakers:
What you will learn:
- This workshop, organized by Fortanix in collaboration with Intel and Microsoft, explores the use cases and technologies for eliminating the single largest barrier of data protection by moving sensitive or highly regulated data sets and application workloads from an inflexible, expensive on-premises IT infrastructure to a more flexible and modern public cloud platform.
- Our industry experts will also show how confidential computing extends beyond just generic data protection, and TEEs are also being used to protect proprietary business logic, analytics functions, machine learning algorithms, or entire applications.
Confidential computing is the protection of data in use by performing computation in a hardware-based Trusted Execution Environment (TEE). Cloud native workloads are typically protected when in transit through networking encryption and at rest, confidential computing enables data protection in memory while data is being processed. The confidential computing threat model aims at removing or reducing the ability for a cloud provider/operator and other actors in the tenant’s domain to access code and data while being executed.
Speakers:
What you will learn:
- This workshop, organized by Fortanix in collaboration with Intel and Microsoft, explores the use cases and technologies for eliminating the single largest barrier of data protection by moving sensitive or highly regulated data sets and application workloads from an inflexible, expensive on-premises IT infrastructure to a more flexible and modern public cloud platform.
- Our industry experts will also show how confidential computing extends beyond just generic data protection, and TEEs are also being used to protect proprietary business logic, analytics functions, machine learning algorithms, or entire applications.
