How Confidential Computing Helps Industries Thrive

Confidential computing can ensure data security while also benefiting in every way

Fremont, CA: Confidential computing can protect data and extend cloud benefits to sensitive workloads. It also covers intellectual property, enables safe collaboration with partners on new cloud solutions, eliminates concerns about cloud provider selection, and protects data processes at the edge. Because cloud confidential computing has many applications, let's look at how industries can benefit from it in this article.

In Mobility, Confidential Computing

Sensor data from networked vehicles can be aggregated and processed end-to-end encrypted and verifiable using Confidential computing. If the process is implemented correctly, the vehicle manufacturer and application operator will only access aggregated and filtered output data.

Engineering and Manufacturing Confidential Computing

As we all know, Industry 4.0 is the most popular term in mechanical engineering and manufacturing, particularly in Germany. This is to increase the use of sensors and the data analytics that go with them to boost productivity.

Healthcare and Research Confidential Computing

Because patient data is susceptible and regulated in the healthcare industry, confidential computing can enable secure multi-party AI training for various purposes. For example, it can help combine data from multiple hospitals to train AI in detecting diseases, such as CT scans. This ensures data security at every stage of the process.

Finance Confidential Computing

Another industry where the particular combination of data between two parties can unlock significant value in finance. Retailers and credit card companies can use confidential computing to cross-check their customers and transaction data to detect fraud. This can be accomplished by safeguarding their customers' privacy throughout the entire process.