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Merge pull request #262198 from cmcclister/Broken-link-fix-grbury
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articles/confidential-computing/multi-party-data.md

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@@ -87,4 +87,4 @@ Use a partner that has built a multi-party data analytics solution on top of the
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- [**Habu**](https://habu.com) delivers an interoperable data clean room platform that enables businesses to unlock collaborative intelligence in a smart, secure, scalable, and simple way. Habu connects decentralized data across departments, partners, customers, and providers for better collaboration, decision-making, and results.
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- [**Mithril Security**](https://www.mithrilsecurity.io/) provides tooling to help SaaS vendors serve AI models inside secure enclaves, and providing an on-premises level of security and control to data owners. Data owners can use their SaaS AI solutions while remaining compliant and in control of their data.
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- [**Opaque**](https://opaque.co/) provides a confidential computing platform for collaborative analytics and AI, giving the ability to perform collaborative scalable analytics while protecting data end-to-end and enabling organizations to comply with legal and regulatory mandates.
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- [**SafeLiShare**](https://safelishare.com/solution/encrypted-data-clean-room/) provides policy-driven encrypted data clean rooms where access to data is auditable, trackable, and visible, while keeping data protected during multi-party data sharing.
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- [**SafeLiShare**](https://safelishare.com/) provides policy-driven encrypted data clean rooms where access to data is auditable, trackable, and visible, while keeping data protected during multi-party data sharing.

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