Safe Tuesday with SNOK: Confidential Computing - a revolution in data processing security

When did you last stop to consider the security of your data in the cloud? Are you confident that the infrastructure you rely on genuinely protects your most sensitive information? In today’s instalment of “Safe Tuesday with SNOK”, we take you on a fascinating journey through the world of Confidential Computing - a technology that is changing the rules of the game in data processing security.

Data - the new currency of the digital world

In the era of digital transformation, data has become the most valuable asset of any organisation. Every day, companies generate and process vast quantities of information, from customers’ personal data to trade secrets and business strategies. As the value of data grows, so does the interest of cybercriminals in acquiring it. According to IBM’s “Cost of a Data Breach Report 2021”, the average cost of a data breach in 2021 reached USD 4.24 million - the highest figure in the report’s 17-year history.

Traditional data protection methods, such as encryption at rest and in transit, have for years formed the backbone of security strategy. However, in the face of increasingly sophisticated attacks, they are proving insufficient. The gap in protecting data during processing has become a flashpoint that cybercriminals are keen to exploit.

Confidential Computing - guardian of secrets at the heart of the cloud

This is where Confidential Computing enters the stage. This ground-breaking technology delivers what until now seemed impossible - protection of data not only at rest and in transit, but also while it is being processed. It is akin to adding a third dimension to a two-dimensional world of security.

But what exactly is Confidential Computing? In the simplest terms, it is a technology that creates an isolated computing environment, protected against unauthorised access - even from system administrators or cloud service providers. It is like a safe within a safe - even if someone gains access to the outer layer, the inner one remains intact.

How does the magic of Confidential Computing work?

At the heart of this technology lie so-called Trusted Execution Environments (TEEs). Picture them as impregnable fortresses within your computer system. TEEs are dedicated areas of memory and processor that are completely isolated from the rest of the operating system and applications.

When data enters the enclave, it is automatically encrypted. What is more, the encryption keys are generated and stored inside the enclave itself, making them practically impossible to intercept. Even if an attacker gains full access to the operating system or the hypervisor, they will not be able to read the data being processed in the enclave or modify the code executed there.

It is somewhat like Superman’s Kryptonian fortress - impenetrable to ordinary mortals, safeguarding its secrets from any external threat.

Why is Confidential Computing a genuine game changer?

Imagine a world in which you can process the most sensitive data in the public cloud without concern for its security. A world in which different organisations can collaborate on joint projects without disclosing confidential information to one another. A world in which medical or financial data analysis can take place while fully preserving the privacy of patients and clients.

This is not science fiction - it is the reality that Confidential Computing offers. Here are some of the key advantages of this technology:

• Protection of data in use: This is the principal advantage of Confidential Computing. Data is protected not only during storage and transmission, but also during active processing.

• Isolation from the host system: Enclaves are isolated from the operating system and the hypervisor, substantially reducing the attack surface.

• Integrity verification: Confidential Computing enables remote attestation, allowing verification of whether the execution environment has been tampered with.

• Regulatory compliance: This technology helps meet data protection regulatory requirements, such as GDPR or HIPAA.

• Secure collaboration: It enables secure processing of data from different parties without the need to disclose it to one another.

Practical applications of Confidential Computing

Confidential Computing is not merely theoretical - it is a technology already in use across various industries. Here are several concrete examples:

1. Protecting medical data

The healthcare sector is among those most exposed to cyberattacks. According to the IBM report, in 2021 the average cost of a data breach in the healthcare sector reached as much as USD 9.23 million - significantly above the average for other industries.

Thanks to Confidential Computing, hospitals and research institutions can securely process patient data, such as test results or medical histories, without fear of compromise. Fortanix, for example, uses this technology to create a secure environment for genomic data analysis, enabling researchers to conduct advanced studies without exposing patient privacy.

2. Secure financial analysis

In the financial sector, data security is essential. Banks and financial institutions can use Confidential Computing to carry out complex financial analyses on customer data without exposing it to the risk of leakage or unauthorised access.

An example is a project undertaken by Bank of America in collaboration with IBM. By using Confidential Computing, the bank can perform sophisticated risk analyses and detect potential fraud while maintaining full confidentiality of customer data.

3. Collaboration between companies

Confidential Computing enables secure collaboration between different entities without the need to disclose their data to one another. This opens up new possibilities for joint research projects or market analyses.

An excellent example is a project run by Swisscom in partnership with Microsoft Azure. By using Confidential Computing, Swisscom can securely process its customers’ data in the public cloud while retaining full control over the data and encryption keys.

4. Secure processing at the edge

In the era of the Internet of Things (IoT) and edge computing, data security at the network edge is becoming an increasingly significant challenge. Confidential Computing is also finding application in this domain, enabling secure data processing closer to its source.

Intel, one of the leaders in Confidential Computing, has developed Intel SGX (Software Guard Extensions) technology, which enables the creation of secure enclaves on edge devices. This allows data to be securely processed even on potentially untrusted IoT devices.

SUSE and SNOK: a partnership in the name of security

At SNOK, we have always championed innovation and the highest security standards. That is why we are proud to announce our strategic partnership with SUSE - a leader in open-source solutions for enterprises.

SUSE, known for its stable and secure Linux distribution and hybrid cloud solutions, is investing heavily in integrating Confidential Computing technology into its products. The latest versions of SUSE Linux Enterprise Server (SLES) offer native support for Intel SGX technology, enabling the creation of secure enclaves on physical servers and in virtual environments.

The collaboration between SNOK and SUSE means our clients receive a comprehensive solution - from the operating system through to advanced security management tools, all with built-in support for Confidential Computing.

How to implement Confidential Computing in your organisation

Implementing Confidential Computing may seem complex, but with the right partner it is a straightforward and effective process. Here are the steps we recommend to our clients:

• Needs assessment: The first step is a thorough analysis of business processes and identification of areas where the most sensitive data is processed. Our experts help conduct a detailed audit and set priorities.

• Platform selection: Depending on requirements and existing infrastructure, we select the appropriate solution. This might be SUSE Linux Enterprise Server with Intel SGX support for on-premises environments, or cloud-based solutions built on Microsoft Azure Confidential Computing or Google Cloud Confidential Computing.

• Proof of concept: Before full-scale deployment, we recommend running a pilot project. This allows for practical testing of the technology and tailoring it to the organisation’s specific needs.

• Implementation: We carry out the deployment while maintaining the highest security standards. Our team of experts ensures smooth integration with existing systems and processes.

• Training: We provide comprehensive training for the IT team and end users. This knowledge is essential for the effective use of new technologies and maintaining a high level of security.

• Continuous improvement: Security is a process, not a product. We offer ongoing support, regular audits and updates to ensure your Confidential Computing solution always meets the latest standards and addresses emerging threats.

The future of data security

Confidential Computing is not a passing trend, but the direction in which the entire IT industry is heading. According to Everest Group forecasts, the Confidential Computing solutions market is expected to reach USD 54 billion by 2026, representing an impressive compound annual growth rate of 90-95%.

The development of this technology is being driven not only by growing cybersecurity threats, but also by increasingly stringent data protection regulations. GDPR in Europe, CCPA in California, and LGPD in Brazil are just some of the regulations imposing strict data protection requirements on companies.

The Confidential Computing Consortium, an organisation bringing together industry leaders such as Intel, Microsoft, Google and Alibaba Cloud, is working on standardising and promoting this technology. Thanks to these efforts, we can expect rapid development and increasingly widespread adoption of Confidential Computing across various sectors.

Challenges and limitations

Despite its undeniable advantages, Confidential Computing is not without its challenges. These include:

• Performance: Encrypting and decrypting data on the fly can affect application performance. Although the latest hardware solutions have significantly reduced this issue, it remains a factor to consider when designing systems.

• Compatibility: Not all applications are ready to operate in a Confidential Computing environment. Adapting existing software may require considerable effort.

• Costs: Implementing Confidential Computing can involve additional costs, both in terms of hardware and software.

• Complexity: Managing keys and enclaves requires specialist knowledge, which can pose a challenge for smaller organisations.

• Standardisation: Despite the efforts of the Confidential Computing Consortium, unified standards in this field are still lacking. Different platforms and vendors offer different implementations, which can lead to interoperability issues.

• Awareness: Many companies remain unaware that Confidential Computing technology exists, or do not fully understand its potential. Market education remains one of the key challenges.

At SNOK, we are aware of these challenges and are working to minimise them. Our solutions are designed with maximum performance and ease of use in mind, and our team of experts is ready to help at every stage of implementing and maintaining a Confidential Computing-based system.

Practical examples of Confidential Computing deployments

To better understand the potential of Confidential Computing, let us look at several real-world deployment cases of this technology.

Case study 1: Bank XYZ

Bank XYZ, one of Europe’s leading banks, faced the challenge of conducting advanced behavioural analysis of customers to detect potential fraud, while remaining compliant with GDPR.

Solution: In collaboration with SNOK and SUSE, the bank deployed a platform based on SUSE Linux Enterprise Server with Intel SGX support. This enabled the bank to run analyses on encrypted customer data without exposing it to leakage risk. The results? A 30% increase in fraud detection rates alongside a 25% reduction in false alarms.

Case study 2: an international medical research institute

The institute was conducting advanced research into rare genetic diseases, requiring analysis of vast quantities of genomic data from around the world. The challenge was to ensure patient privacy and compliance with various international regulations.

Solution: By using Confidential Computing technology in the Microsoft Azure cloud, the institute created a secure environment for data analysis. Researchers from different countries were able to collaborate on the project, with access only to aggregated results and no ability to view individual patient data. The effect? Research accelerated by 40% and the discovery of three new genetic markers within the first year.

Case study 3: EnergySmart, an energy company

EnergySmart, an innovative company in the energy sector, wanted to use smart meter data to optimise the power grid while protecting consumer privacy.

Solution: The company deployed a Confidential Computing solution at the network edge. Each smart meter was equipped with a mini-enclave that processed data locally, sending only aggregated and anonymised information to the central system. The result? A 15% reduction in grid energy losses and full compliance with privacy regulations.

The future of Confidential Computing

Looking ahead, we can expect Confidential Computing to play an ever-greater role in the cybersecurity landscape. Here are several trends we believe will shape the future of this technology:

• Integration with AI and ML: Confidential Computing will open up new possibilities in artificial intelligence and machine learning, enabling secure processing of sensitive data within AI models.

• Growth of edge computing: With the growth of the Internet of Things (IoT), Confidential Computing will be essential for ensuring the security of data processed at the network edge.

• Quantum-resistant encryption: In the face of quantum computing development, Confidential Computing enclaves may become a key element in protecting against quantum attacks.

• Legal regulations: We can expect future data protection regulations to explicitly require the use of technologies such as Confidential Computing.

• Standardisation: The Confidential Computing Consortium is working to unify standards, which will accelerate the adoption of this technology and facilitate interoperability between different platforms.

Steps to implement Confidential Computing in your organisation

If you are considering implementing Confidential Computing in your company, here are several practical steps we recommend:

• Security audit: Begin with a thorough audit of your organisation’s current data security posture. Identify the most sensitive data and processes that could benefit from Confidential Computing.

• Readiness assessment: Check whether your current infrastructure is ready for Confidential Computing deployment. This may require hardware or software upgrades.

• Solution selection: Many Confidential Computing solutions are available on the market. Choose the one that best fits your needs. At SNOK, we can help you select the optimal solution.

• Pilot deployment: Start with a small pilot project. This will allow you to test the technology in practice and identify potential challenges.

• Training: Ensure the IT team and end users receive appropriate training. Awareness and understanding of the technology are essential for its effective use.

• Full deployment: Following the success of the pilot project, plan a full Confidential Computing deployment across key areas of your organisation.

• Continuous optimisation: Confidential Computing technology is constantly evolving. Stay up to date with new capabilities and regularly optimise your solution.

Summary

Confidential Computing is not just another IT buzzword, but a genuine revolution in the approach to data security. In an era when data is a company’s most valuable asset, yet exposed to increasingly sophisticated attacks, this technology offers a new level of protection.

At SNOK, we are convinced that Confidential Computing will become standard practice in the coming years. That is why we are already investing in developing our expertise in this field and building solutions that will allow our clients to stay ahead of the competition and ensure the highest level of security for their data.

Remember that security is a process, not a product. Confidential Computing is a powerful tool, but its effectiveness depends on proper implementation and continuous improvement. That is why it is so important to have an experienced partner on your side.

If you would like to learn more about how Confidential Computing can secure your organisation, please get in touch with us. Our experts are ready to help you at every step of this fascinating journey towards a new era of data security.

At SNOK, we believe that security is not just our business - it is our mission. Join us in shaping a safer future for the digital world.