프라이버시 향상과 보안 컴퓨팅을 위한 다양한 기술

Actionable Benefits:

• Understand commercial developments of different security technologies being leveraged for privacy and confidentiality
• Determine a realistic timeline for maturity of various Privacy Enhancing Technologies (PETs) and Confidential Computing (CC).
• Identify target markets and business models for delivery of PET and CC.

Critical Questions Answered:

• What types of security technologies are being leveraged for confidentiality and privacy?
• Which vendors are offering PET and CC services and how are they delivering them?
• What is the market opportunity for PET and CC?

Research Highlights:

• High-level view of PET and CC solutions currently available on the market.
• PET and CC vendor ecosystem snapshot.
• Total Addressable Market (TAM) for various PET and CC technologies.

Who Should Read This?

• Artificial Intelligence (AI)/Machine Learning (ML) developers to understand how to implement privacy and confidentiality.
• Silicon Intellectual Property (IP) and semiconductor manufacturers to develop appropriate underlying secure hardware.
• PET and CC vendors to forge partnerships for integration and interoperability.
• Regulators and standards development organizations in order to assess technology specification maturity.

Table of Contents

• Introduction
• Technology Overview
• Multi-Party Computation
• Homomorphic Encryption
• Differential Privacy
• Zero-Knowledge Proof
• Synthetic Data
• Federated Learning
• Trusted Execution Environment
• Confidential Computing
• Trusted Platform Module
• Hardware Security Module
• Encryption Key Management & Public Key Infrastructure
• Distributed Ledger Technology
• Analysis
• Summary