Confidential computing can ensure data security along with benefiting in all aspects

As many companies rely on public and hybrid cloud services nowadays, data privacy has been extremely important. And this is the major goal of confidential computing to provide greater assurance to the companies and leaders that their data in the cloud is protected and is confidential. This is also to encourage sensitive data and computing workloads to public cloud services. The advantage of confidential cloud computing is that it eliminates the remaining data security vulnerability by protecting data in use during runtime.

Confidential computing can be used to protect data and extend cloud benefits to sensitive workloads, it protects intellectual property, allows collaboration with partners on new cloud solutions safely, eliminates concerns over selecting cloud providers, and protects data processes at the edge. As it has many uses, let's see how industries can benefit from cloud confidential computing in this article.

Confidential Computing in Mobility

With the help of Confidential computing, sensor data from networked vehicles can be aggregated and processed in an end-to-end encrypted and end-to-end verifiable way. If the process is implemented appropriately then the vehicle manufacturer and the application operator can only get access to the aggregated and filtered output data. Confidential computing can be beneficial for customers, partners, and legislators thereby increasing customer acceptance for use of their data with the help of compliance.

Confidential Computing in Engineering and Manufacturing

As we all know Industry 4.0 is the most popular word in mechanical engineering and manufacturing when we take a look especially at Germany. This is to increase the use of sensors and corresponding data analytics to boost productivity. As companies have a lot of business data stored they are resistant to sharing the data freely on the Cloud, in such cases confidential computing can help them share and process it without any kind of hesitation or insecurity feeling with regard to the data security concerns. The core idea of sharing data without sharing it can generate several opportunities in the future regarding predictive maintenance, or digital twins, or even with other data-driven industry applications.

Confidential Computing in Healthcare and Research

In the healthcare sector, patient data is highly sensitive and regulated, and so confidential computing can enable secure multi-party training of AI for different purposes. It can be useful in combining the data of the multiple hospitals for training AI in detecting diseases such as CT scans. This can ensure data security in each step of the process. In this way, hospitals can work collaboratively at the same time ensuring the data privacy of the patient.

Confidential Computing in Finance

This is another industry where the secure combination of data between two parties can unlock substantial value in the finance industry. Using confidential computing, retailers and credit card companies can cross-check their customers and their transaction data to be alert concerning frauds. This can be done by protecting the privacy of their customers alongside the whole process.

Confidential computing can be beneficial in always ensuring the data privacy concerns of the customers. This technology is seen as the future by most experts in the field. Cloud computing combined with confidential computing giving the benefits of data security can shape the software landscape of the new technology in the coming days.