Subscribe to Tech Horizon

Get new posts by Anand Vemula delivered straight to your inbox.

 

SC-900:Microsoft Security, Compliance, and Identity Fundamentals Certification Exam Guide



The SC-900: Microsoft Security, Compliance, and Identity Fundamentals book serves as a comprehensive guide to understanding the core principles of security, compliance, and identity (SCI) in Microsoft environments. It is designed for beginners, IT professionals, and business stakeholders who want to build foundational knowledge of Microsoft’s security solutions. The book is structured into four main sections: Security, Compliance, and Identity Fundamentals – Introduces key security concepts such as Zero Trust, Defense-in-Depth, the Shared Responsibility Model, and cybersecurity threats. It also explains the importance of securing cloud environments. Microsoft Entra ID and Identity Management – Covers Microsoft Entra ID (formerly Azure AD), authentication and access control mechanisms (MFA, SSO, Conditional Access), and identity governance tools like Privileged Identity Management (PIM). Microsoft Security Solutions – Explains Microsoft’s threat protection tools, including Microsoft Defender XDR, Microsoft Sentinel (SIEM & SOAR), and Microsoft Defender for Cloud. These tools help detect, respond to, and prevent security threats across workloads. Microsoft Compliance Solutions – Focuses on Microsoft Purview for data governance, Data Loss Prevention (DLP), eDiscovery, Insider Risk Management, and compliance automation tools. This book serves as an essential resource for anyone preparing for the SC-900 exam, ensuring a solid understanding of Microsoft’s security and compliance framework.



Comments

Work With Me

Work With Me

I help enterprises move from experimental AI adoption to production-grade, governed, and audit-ready AI systems with strong risk and compliance alignment.

AI Strategy • Governance & Risk • Enterprise Transformation

For enterprise leaders responsible for deploying AI systems at scale.

Engagement typically follows three stages:

1. Discovery – Understand AI maturity & risk exposure
2. Assessment – Identify governance gaps & architecture risks
3. Advisory Support – Guide implementation of scalable AI systems

Designed for enterprise leaders building production-grade AI systems with governance, risk, and scale in mind.

Enjoying this insight?

Get practical AI, governance, and enterprise transformation insights delivered weekly. No fluff — just usable thinking.

Free. No spam. Unsubscribe anytime.

Join readers who prefer depth over noise.

Get curated AI insights on governance, strategy & enterprise transformation.