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Three Practical Reasons Why Enterprises Should Embrace Confidential Computing

By Umme Sutarwala - May 13, 2022 3 Mins Read

Three Practical Reasons Why Enterprises Should Embrace Confidential Computing

Today, organizations are seeking solutions to keep their cloud data safe. Data privacy has become more vital than ever due to the COVID-19 outbreak which has fostered the expansion of public and hybrid cloud services. And this is where Confidential Computing comes into the picture, assuring enterprises and business leaders that their data in the cloud is safe and secure.

The IT industry has recognized a new level of threat actors. No amount of external security or firewall protection will prevent a data breach, resulting in the coining of a new security term: Confidential Computing. Confidential Computing, which is still in its early phases of development, is all about how to better manage and safeguard data in use by executing computations in a hardware-based Trusted Execution Environment.

In today’s remote work world, more businesses understand the benefits of Confidential Computing. According to Everest Group’s recent estimate, the Confidential Computing industry might reach $54 billion by 2026, indicating its growing relevance in the business security area. With the continuous fear of security breaches, Confidential Computing delivers hardware-level protection, confidentiality, and privacy, giving firms more peace of mind.

What is the significance of Confidential Computing?

While partnering with third-party cloud providers might save money, there is a risk of losing confidence and not knowing if the organization is doing enough to protect data.

However, there is zero-trust security with Confidential Computing. The cloud provider does not have access to the information because it is always encrypted. This gives people the confidence to move their workloads to the cloud.

Confidential Computing brings in a new era in which sensitive data may be analyzed without compromising privacy or secrecy. It would remove a significant obstacle for companies looking to transition to the cloud by allowing cloud administrators to examine their customers’ data.

Also Read: Four Data Privacy Missteps to Avoid in 2022 and Beyond

According to Gartner, over 65% of major enterprises will utilize one or more privacy-enhancing computing methodologies by 2025. One of the most crucial aspects, according to the report, will be Confidential Computing.

Why should organizations utilize Confidential Computing?

To safeguard sensitive data

Enterprises need to secure confidential data even while it is in use and to expand the advantages of cloud computing to sensitive workloads. Confidential Computing removes the single most significant impediment to migrating confidential or heavily restricted data sets and application workloads from an inflexible, costly on-premises IT infrastructure towards a more agile and contemporary public cloud platform. This happens when data encryption at rest and in transit is paired with exclusive key control.

To work on new cloud solutions with partners in a secure manner

For example, a team from one firm can incorporate sensitive data with proprietary calculations from another company to build innovative solutions without exposing any data or intellectual property that neither company wants to divulge.

Also Read: Five Significant Signs of Fake Agile Practitioners

To alleviate any fears about cloud providers

Confidential Computing allows a business leader to select the cloud computing services that best match the organization’s technical and business needs, without having to worry about storing and processing sensitive data, proprietary technology, or other assets. If the cloud provider also offers rival business services, this strategy helps to remove any additional competitive issues.

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Umme Sutarwala

Umme Sutarwala is a Global News Correspondent with OnDot Media. She is a media graduate with 2+ years of experience in content creation and management. Previously, she has worked with MNCs in the E-commerce and Finance domain

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