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(ISC)2 Security Congress 2022

2101783 - Privacy-Preserving Analytics and Secure Multiparty Computation


Oct 11, 2022 10:35am ‐ Oct 11, 2022 11:35am


Description

New technologies for data protection can arm innovative businesses to win in an ever-changing, increasingly competitive digital economy. Attendees will learn how security policy and encryption key management can leverage the same tools and skills across multiple clouds and for on-premises systems. They will learn how new techniques for data protection create opportunities to harness sensitive data by using differential privacy and K-anonymity, pseudonymization and anonymization, and synthetic data. We will discuss how to use zero trust architecture, zero-knowledge proofs and private set intersection. Additionally, we'll discuss how to use privacy-preserving analytics, use cases in machine learning, secure multi-party computation and homomorphic encryption. Finally, expect to hear about trusted execution environments and post-quantum cryptography.

Learning Objectives:
  • Understand how security policy and encryption key management can leverage the same tools and skills across multiple clouds and for on-premises systems.
  • Demonstrate how to use new techniques for protecting sensitive data across multiple clouds and on-premises systems, including the use of zero trust architecture, zero-knowledge proofs and private set intersection.
  • Demonstrate how new techniques for data protection create new opportunities with protected data by using differential privacy, pseudonymization and anonymization, and synthetic data, including the use of privacy-preserving analytics, use cases in machine learning, secure multi-party computation and homomorphic encryption.

Speaker(s):

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