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With real-world examples, practical tips, and insightful case studies, "Mastering IAM" equips readers with the knowledge and skills needed to effectively implement and manage IAM solutions. Whether you are an IAM professional, IT manager, or security practitioner, this book will guide you toward harnessing the full potential of IAM to protect your organization's assets and drive business success.


Don't let identity and access management be a barrier to productivity and security. Unleash the power of IAM with Kris Hermans as your trusted guide.

Mastering IAM

  • 1. Introduction to Identity and Access Management

    • What is IAM?
    • History and evolution of IAM
    • Why is IAM important?

    2. The Core Components of IAM

    • Identification
    • Authentication
    • Authorization
    • Audit and Compliance

    3. Identity Providers (IdPs)

    • What is an Identity Provider?
    • Role of IdPs in IAM
    • Common IdPs and their features

    4. Single Sign-On (SSO)

    • Understanding SSO
    • SSO Protocols: SAML, OAuth, OpenID Connect
    • Benefits and challenges of SSO

    5. Multi-Factor Authentication (MFA)

    • What is MFA?
    • Types of MFA
    • MFA's role in enhancing security

    6. IAM Strategy and Planning

    • Establishing IAM vision and goals
    • Understanding your organization's needs
    • IAM roadmap creation

    7. IAM Solution Selection

    • Criteria for selecting an IAM solution
    • Vendor assessment and selection
    • Implementation considerations

    8. IAM Rollout

    • IAM implementation best practices
    • Stakeholder communication and training
    • Monitoring and maintaining your IAM solution

    9. IAM in the Cloud

    • IAM in a cloud context
    • IAM for different cloud service models: IaaS, PaaS, SaaS
    • Cloud Identity as a Service (IDaaS)

    10. IAM and Blockchain

    • Potential use cases for blockchain in IAM
    • Strengths and weaknesses of blockchain-based IAM
    • Examples of blockchain IAM systems

    11. Emerging Trends in IAM

    • Machine learning and AI in IAM
    • Biometrics in IAM
    • Decentralized identity

    12. Challenges and Opportunities in IAM

    • Future IAM challenges
    • Opportunities for improving IAM
    • Skills needed for future IAM professionals

    13. About the author

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