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Confidential computing

Confidential computing is a new security paradigm that raises data protection to unprecedented levels. By keeping data always encrypted and making all workloads verifiable, confidential computing enables provable security, even on public clouds.

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What is confidential computing?

There are three states in which data can be: at rest, in transit or in use. Until now, encrypting data in use was not possible. Confidential computing changes that and keeps data even encrypted at runtime in memory. In addition, with confidential computing, the integrity of workloads can be cryptographically verified using remote attestation. This combination of runtime memory encryption and remote attestation enables secure data processing, even when the computers belong to someone else.

Read our whitepaper on confidential computing

Download our confidential computing whitepaper and learn everything that you need to know about confidential computing hardware, software, industry use cases and where the technology is headed!

Confidential Computing Whitepaper

What are use cases for confidential computing?

Move all workloads to the cloud

Companies can isolate all workloads from the infrastructure and are protected against malicious admins.

Prevent data breaches

By keeping all data always encrypted and everything verifiable, companies can ensure that no hackers or malicious admins have access to their data.

Enable secure collaboration

Confidential computing makes it possible to combine and analyze sensitive data across organizations without disclosing secrets or intellectual property.

Ensure data protection in SaaS

With confidential computing, SaaS providers can ensure that their customers' data is protected, without the need for costly on-prem deployments.

Confidential computing solves the trust problem of the cloud

Confidential computing can take away the risks for companies of moving to the cloud even in highly regulated industries. It can also enable new forms of innovative cloud applications and is thus poised to unlock large value in our global economies. It will also likely act as a catalyst for other disruptive technologies like AI.

Which industries can benefit from confidential computing?

Healthcare

Confidential computing can enable secure multi-party training of AI for different purposes, e.g. using training data from different hospitals for cancer detection. The patients’ data remains confidential during each step of the process.

Financial Services

Through confidential computing, a retailer and a credit card company can cross-check their customer and transaction data for potential fraud while privacy is ensured because neither of them gets access to the original data.

Public Sector & Defense

When dealing with the most sensitive data, protection must be at the highest levels possible. Confidential computing provides this security and enables the benefits of the cloud without having to trust anybody.

Telecommunication

The telecommunication industry is responsible for critical infrastructure and is thus prone to cyber atttacks. Confidential computing ensures the highest level of data security and enables the verification of workloads.

Manufacturing

The Industry 4.0 generates large amounts of data from sensors and other sources. With confidential computing it is possible to effectively share and analyze that data to boost productivity while ensuring privacy and security.

SaaS

SaaS companies inherently rely on scalable cloud offerings and need to trust the providers with sensitive customer data. Confidential computing ensures that nobody, not even system administrators, can access that data.

Case Study: How Bosch built a confidential AI pipeline

Bosch works at the forefront of artificial intelligence and autonomous driving. As data privacy and compliance are major concerns when gathering and training neural networks, Bosch wanted to leverage confidential AI. Based on EGo and EdgelessDB, we have built an always encrypted, confidential AI pipeline. With the solution, Bosch strengthened AI data compliance and security. This is one of many examples of how confidential computing can ba applied today.

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Confidential computing reduces the attack surface to a minimum

An enclave’s data and code are always encrypted, not only on disk, but also in memory at runtime. The secure enclave is isolated from the main processor.​ Data is opaque to even those with privileges like administrators or the operating system and it is safe from alteration.