Introduction to Confidential Computing: A Comprehensive Guide to Understanding and Exploring Confidential Computing
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- FormatePub
- ISBN978-93-6589-152-2
- EAN9789365891522
- Date de parution15/10/2024
- Protection num.Adobe DRM
- Infos supplémentairesepub
- ÉditeurBPB Publications
Résumé
DESCRIPTIONIn an age where data breaches and privacy issues are growing, confidential computing offers a state-of-the-art solution. This technology helps organizations keep their most sensitive information safe, even against strong threats. Introduction to Confidential Computing provides a clear guide to this advanced cybersecurity technology. It explains why confidential computing is crucial for protecting sensitive data, covering key technologies, architectures, and frameworks.
The book details remote attestation, which ensures computing environment integrity, and explores how confidential computing enhances AI training security. It also reviews solutions from major cloud providers, helping readers choose the right options. This book is perfect for anyone looking to boost their cybersecurity skills and stay ahead in data protection. By the end of this book, you will gain a thorough understanding of confidential computing and its impact on data security and privacy.
You will be ready to assess and implement confidential computing solutions, safeguarding your organization's assets and meeting data privacy regulations. KEY FEATURES ? Comprehensive overview of confidential computing architectures and technologies.? Guidance on leveraging confidential computing technologies for secure data processing and privacy protection.? Learn how confidential computing ensures data privacy and protects AI model integrity through secure processing. WHAT YOU WILL LEARN? Learn why confidential computing is crucial in today's digital world.? Understand high-level architecture of various trusted execution environments implementations.? Art of developing secure applications that can be deployed on TEE.? Comprehend how remote attestation ensures the integrity of computing environments.? Discover how RA-TLS could reshape the future of secure communications.? Explore how confidential computing protects data and AI models. WHO THIS BOOK IS FORThis book is for software architects, security researchers, and developers to enhance application security using confidential computing.
PhD candidates and postgraduates will explore TEEs, while AI/ML developers will understand how confidential AI protects data and models.
The book details remote attestation, which ensures computing environment integrity, and explores how confidential computing enhances AI training security. It also reviews solutions from major cloud providers, helping readers choose the right options. This book is perfect for anyone looking to boost their cybersecurity skills and stay ahead in data protection. By the end of this book, you will gain a thorough understanding of confidential computing and its impact on data security and privacy.
You will be ready to assess and implement confidential computing solutions, safeguarding your organization's assets and meeting data privacy regulations. KEY FEATURES ? Comprehensive overview of confidential computing architectures and technologies.? Guidance on leveraging confidential computing technologies for secure data processing and privacy protection.? Learn how confidential computing ensures data privacy and protects AI model integrity through secure processing. WHAT YOU WILL LEARN? Learn why confidential computing is crucial in today's digital world.? Understand high-level architecture of various trusted execution environments implementations.? Art of developing secure applications that can be deployed on TEE.? Comprehend how remote attestation ensures the integrity of computing environments.? Discover how RA-TLS could reshape the future of secure communications.? Explore how confidential computing protects data and AI models. WHO THIS BOOK IS FORThis book is for software architects, security researchers, and developers to enhance application security using confidential computing.
PhD candidates and postgraduates will explore TEEs, while AI/ML developers will understand how confidential AI protects data and models.
DESCRIPTIONIn an age where data breaches and privacy issues are growing, confidential computing offers a state-of-the-art solution. This technology helps organizations keep their most sensitive information safe, even against strong threats. Introduction to Confidential Computing provides a clear guide to this advanced cybersecurity technology. It explains why confidential computing is crucial for protecting sensitive data, covering key technologies, architectures, and frameworks.
The book details remote attestation, which ensures computing environment integrity, and explores how confidential computing enhances AI training security. It also reviews solutions from major cloud providers, helping readers choose the right options. This book is perfect for anyone looking to boost their cybersecurity skills and stay ahead in data protection. By the end of this book, you will gain a thorough understanding of confidential computing and its impact on data security and privacy.
You will be ready to assess and implement confidential computing solutions, safeguarding your organization's assets and meeting data privacy regulations. KEY FEATURES ? Comprehensive overview of confidential computing architectures and technologies.? Guidance on leveraging confidential computing technologies for secure data processing and privacy protection.? Learn how confidential computing ensures data privacy and protects AI model integrity through secure processing. WHAT YOU WILL LEARN? Learn why confidential computing is crucial in today's digital world.? Understand high-level architecture of various trusted execution environments implementations.? Art of developing secure applications that can be deployed on TEE.? Comprehend how remote attestation ensures the integrity of computing environments.? Discover how RA-TLS could reshape the future of secure communications.? Explore how confidential computing protects data and AI models. WHO THIS BOOK IS FORThis book is for software architects, security researchers, and developers to enhance application security using confidential computing.
PhD candidates and postgraduates will explore TEEs, while AI/ML developers will understand how confidential AI protects data and models.
The book details remote attestation, which ensures computing environment integrity, and explores how confidential computing enhances AI training security. It also reviews solutions from major cloud providers, helping readers choose the right options. This book is perfect for anyone looking to boost their cybersecurity skills and stay ahead in data protection. By the end of this book, you will gain a thorough understanding of confidential computing and its impact on data security and privacy.
You will be ready to assess and implement confidential computing solutions, safeguarding your organization's assets and meeting data privacy regulations. KEY FEATURES ? Comprehensive overview of confidential computing architectures and technologies.? Guidance on leveraging confidential computing technologies for secure data processing and privacy protection.? Learn how confidential computing ensures data privacy and protects AI model integrity through secure processing. WHAT YOU WILL LEARN? Learn why confidential computing is crucial in today's digital world.? Understand high-level architecture of various trusted execution environments implementations.? Art of developing secure applications that can be deployed on TEE.? Comprehend how remote attestation ensures the integrity of computing environments.? Discover how RA-TLS could reshape the future of secure communications.? Explore how confidential computing protects data and AI models. WHO THIS BOOK IS FORThis book is for software architects, security researchers, and developers to enhance application security using confidential computing.
PhD candidates and postgraduates will explore TEEs, while AI/ML developers will understand how confidential AI protects data and models.