Why Protecting Data in Use Matters More Than Ever.
The majority of businesses know how crucial it is to protect data when it is being transmitted or stored. The process of encrypting is now considered a standard procedure in both situations. But there is one phase that does not get as much attention as it deserves. What is happening while the data is being processed?
And this is the exact gap that confidential computing aims to fill.
Confidential computing refers to the technology that ensures data safety while it is being processed. The process involves the use of secure processing environments, called trusted execution environments. The technical details may be quite complicated but the idea is rather simple. Even if a hacker manages to break into a system, the data remains protected.
Why Should Business Leaders Worry?
Think of a healthcare provider using AI to evaluate patients’ health or a financial organization processing confidential transactions in the cloud. Both businesses depend on some of the most sensitive data that has to be protected in all stages of processing.
Traditional protective measures are effective against several threats. However, they don’t always protect the data when the software is being used. Confidential computing is aimed at closing such gaps in security.
You might also be interested in: How Confidential Computing Protects Sensitive AI Workloads
Cultivating Trust in Cloud Technologies
As organizations increase their dependence on cloud services and artificial intelligence, the concerns about data security are on the rise. Clients, regulators, and business partners are demanding proof of data security irrespective of the stage of data processing.
Confidential computing can help in that as the risks connected with data processing in shared environments become lower.
Security is Shaping up to Be a Competitive Advantage
Not every organization needs confidential computing at this point. In some cases, the existing tools are sufficient for providing adequate security. But organizations that work in strictly regulated domains or handle large volumes of sensitive data should definitely think about using such technologies in their cybersecurity strategies.
