Safeguarding sensitive data with confidential computing

Confidential computing emerges as a transformative solution in modern data protection, addressing critical vulnerabilities in cloud environments and digital infrastructure. By implementing hardware-based security mechanisms through Trusted Execution Environments (TEEs), organizations can now protect sensitive information throughout their entire computational lifecycle. The technology revolutionizes secure data processing across healthcare, financial services, government, and IoT sectors, enabling unprecedented levels of privacy and security. With innovations in homomorphic encryption, confidential virtual machines, and secure AI processing, organizations can harness the power of cloud computing while maintaining stringent data protection standards. The integration of these advanced security measures creates new possibilities for secure collaboration, data sharing, and privacy-preserving computation in an increasingly interconnected digital landscape.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-05-09
DOI
https://doi.org/10.30574/wjaets.2025.15.2.0505
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00
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article

Safeguarding sensitive data with confidential computing

Janak Bharat Bhalla
World Journal of Advanced Engineering Technology and Sciences
Privacy-Preserving Technologies in Data
article

Safeguarding sensitive data with confidential computing

Janak Bharat Bhalla
article en

Abstract

Confidential computing emerges as a transformative solution in modern data protection, addressing critical vulnerabilities in cloud environments and digital infrastructure. By implementing hardware-based security mechanisms through Trusted Execution Environments (TEEs), organizations can now protect sensitive information throughout their entire computational lifecycle. The technology revolutionizes secure data processing across healthcare, financial services, government, and IoT sectors, enabling unprecedented levels of privacy and security. With innovations in homomorphic encryption, confidential virtual machines, and secure AI processing, organizations can harness the power of cloud computing while maintaining stringent data protection standards. The integration of these advanced security measures creates new possibilities for secure collaboration, data sharing, and privacy-preserving computation in an increasingly interconnected digital landscape.

World Journal of Advanced Engineering Technology and SciencesVol. 15(2)
Openalex Percentile: Top 95%
Privacy-Preserving Technologies in Data
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