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Financial services

Confidential computing for finance


Confidential computing facilitates a zero-trust approach on public clouds and brings end-to-end encryption to data sharing.

Always protecting your customers' financial data

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Move core banking applications to the cloud


With our always-encrypted cloud platform, your data is fully isolated from the infrastructure, inaccessible by cloud providers.

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Share data securely for analytics and AI use cases


Collaborate with partners for fraud prediction, AML, and machine learning, while keeping all data always encrypted.

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Encrypt clearing and stock exchanges' data


Confidential computing delivers state-of-the-art security for the large amounts of personal data processed by clearing houses.

Uncompromising data security and privacy with confidential computing


Confidential computing keeps data always encrypted - at rest, in transit, and in use. Your sensitive application is fully isolated from the infrastructure, facilitating privacy compliance, IP protection, and data sharing.

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Compliance and security made easy

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GDPR compliance


With confidential computing, organizations keep data always encrypted and ensure that even datacenter operators and cloud providers cannot access any data. This restricts access for foreign entities and fulfills privacy-by-design requirements.

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CISA recommendations


The US Cybersecurity & Infrastructure Security Agency (CISA) advises organizations to run "containers in TEEs to reduce the attack surface for containers, and to keep service providers and malicious insiders outside the Trusted Computing Base."

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Monetary Authority of Singapore (MAS)


In 2021, the MAS issued guidelines to address cyber risks associated with public cloud adoption. Besides encryption of data-at-rest and data-in-transit, they recommend the use of confidential computing for encryption of data-in-use.

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DORA Art.9.2 compliance


The Digital Operational Resilience Act (DORA) is a recent directive mandating risk management in the financial sector, extending to the entire ecosystem, including banks, insurers, ICTs, and cryptocurrency service providers. Article 9.2 of DORA specifically requires encryption for data at rest, in transit, and in use.

Privacy-preserving data exchange for insurance fraud prediction with Accenture


“We can now build a safe lock with confidential computing between companies so that data sets can be exchanged in a secure and privacy preserving way. This was not possible before because of competition and privacy issues.”

– Giuseppe Giordano, Senior Manager R&D at Accenture

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Contact us


Interested in learning more about confidential-computing solutions for financial services, banking, and insurance? Contact us!