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@ -135,10 +135,16 @@ In the interest of making FHE as accessible and open as possible, [OpenFHE](http
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### IBM
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IBM were one of the first companies to release an open source FHE library. Their [HElib](https://github.com/homenc/HElib) was mentioned in several papers and drove the field of FHE forward. As a cloud-focused company it makes a lot of sense that they would want to protect their customers' and their customers' customers' data as much as possible, and making efficient FHE ought to be at the top of their priority list.
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IBM were one of the first companies to release an open source FHE library in 2013. Their [HElib](https://github.com/homenc/HElib) was mentioned in several papers and drove the field of FHE forward. As a cloud-focused company it makes a lot of sense that they would want to protect their customers' and their customers' customers' data as much as possible, and making efficient FHE ought to be at the top of their priority list.
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IBM offers FHE as part of its [security consulting services](https://www.ibm.com/services/security) so companies can transition to more secure data processing. They also offer an [SDK](https://ibm.github.io/helayers/) so developers can easily implement their data processing needs with FHE capabilities.
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### Microsoft
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Microsoft released its open source FHE library next, called [SEAL](https://www.microsoft.com/en-us/research/project/microsoft-seal/).
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Microsoft uses FHE for their Password Monitor feature for the [password manager](https://www.microsoft.com/en-us/research/blog/password-monitor-safeguarding-passwords-in-microsoft-edge/) in Edge, which checks if your password has been found in a public data breach.
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### Apple
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Apple is making use of [FHE](https://machinelearning.apple.com/research/homomorphic-encryption) mainly for privately looking up info on a server.
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