Successfully governing AI identities introduces unique technical challenges, especially when integrating them into existing Identity and Access Management (IAM), Identity Governance and Administration (IGA), and Privileged Access Management (PAM) systems. While these platforms provide essential security capabilities, they typically fall short in managing continuous discovery, visibility, and precise ownership, especially as identities diversify into human, machine, and AI actors. This chapter outlines practical technical strategies and considerations for effectively integrating and governing AI identities within your existing security infrastructure, highlighting critical operational gaps and providing proactive solutions to close them.

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Technical Implementation of AI Identity Governance

  • Rosario Mastrogiacomo

摘要

Successfully governing AI identities introduces unique technical challenges, especially when integrating them into existing Identity and Access Management (IAM), Identity Governance and Administration (IGA), and Privileged Access Management (PAM) systems. While these platforms provide essential security capabilities, they typically fall short in managing continuous discovery, visibility, and precise ownership, especially as identities diversify into human, machine, and AI actors. This chapter outlines practical technical strategies and considerations for effectively integrating and governing AI identities within your existing security infrastructure, highlighting critical operational gaps and providing proactive solutions to close them.