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Machine Identity Management|James Relington

Machine Identity Management : Protecting Non-Human Identities in the Enterprise

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Overview

"Machine Identity Management: Protecting Non-Human Identities in the Enterprise" explores the critical role of machine identities in modern cybersecurity, addressing the growing challenges posed by digital certificates, API keys, service accounts, and cryptographic credentials. As organizations increasingly rely on automation, cloud computing, and interconnected systems, securing machine identities has become essential to preventing unauthorized access, credential misuse, and identity-based attacks. This book provides a comprehensive guide to machine identity governance, lifecycle management, automation, and best practices, offering actionable insights into securing enterprise environments while navigating the evolving cybersecurity landscape.

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Details

  • ISBN-13: 9798314373118
  • ISBN-10: 9798314373118
  • Publisher: Independently Published
  • Publish Date: March 2025
  • Dimensions: 9 x 6 x 0.44 inches
  • Shipping Weight: 0.63 pounds
  • Page Count: 208

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