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We explore confidential computing in the context of CBDCs using Microsoft'sCCF framework as an example. By developing an experiment and comparingdifferent approaches and performance and security metrics, we seek to evaluatethe effectiveness of confidential computing to improve the privacy, security,and performance of CBDCs. Preliminary results suggest that confidentialcomputing could be a promising solution to the technological challenges facedby CBDCs. Furthermore, by implementing confidential computing in DLTs such asHyperledger Besu and utilizing frameworks such as CCF, we increase transactionconfidentiality and privacy while maintaining the scalability andinteroperability required for a global digital financial system. In conclusion,confidential computing can significantly bolster CBDC development, fostering asecure, private, and efficient financial future.  --  Exploramos o uso da computa\c{c}\~ao confidencial no contexto das CBDCsutilizando o framework CCF da Microsoft como exemplo. Via desenvolvimento deexperimentos e compara\c{c}\~ao de diferentes abordagens e m\'etricas dedesempenho e seguran\c{c}a, buscamos avaliar a efic\'acia da computa\c{c}\~aoconfidencial para melhorar a privacidade, seguran\c{c}a e desempenho das CBDCs.Resultados preliminares sugerem que a computa\c{c}\~ao confidencial pode seruma solu\c{c}\~ao promissora para os desafios tecnol\'ogicos enfrentados pelasCBDCs. Ao implementar a computa\c{c}\~ao confidencial em DLTs, como oHyperledger Besu, e utilizar frameworks como o CCF, aumentamos aconfidencialidade e a privacidade das transa\c{c}\~oes, mantendo aescalabilidade e a interoperabilidade necess\'arias para um sistema financeiroglobal e digital. Em conclus\~ao, a computa\c{c}\~ao confidencial poderefor\c{c}ar significativamente o desenvolvimento do CBDC, promovendo um futurofinanceiro seguro, privado e eficiente.

A vis\~ao da BBChain sobre o contexto tecnol\'ogico subjacente \`a ado\c{c}\~ao do Real Digital