May 1, 2024
Updated November 11, 2026
13 minute read
Microsoft Sentinel is a cloud-based security information and event management (SIEM) and security orchestration, automation, and response (SOAR) solution. It helps organizations collect, analyze, and respond to security threats across their entire IT environment, including on-premises, cloud, and hybrid environments.
What Can You Do with Microsoft Sentinel?
With Microsoft Sentinel, you can:
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Find a path to becoming a Microsoft Sentinel. Learn more at:
OpenCourser.com/topic/6ayky9/microsoft
Reading list
We've selected 19 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Microsoft Sentinel.
Serves as the flagship architectural and operational guide to Microsoft Sentinel, walking SOC engineers through Log Analytics workspace design, data connector ingestion, Kusto Query Language (KQL) analytics rules, incident investigation graphs, and Logic Apps SOAR playbooks.
Equips SOC analysts and detection engineers with fluency in Kusto Query Language (KQL), translating Microsoft Sentinel telemetry tables into high-fidelity analytics rules, custom threat-hunting queries, workbooks, and automated detections.
Walks security operations practitioners step by step through the Microsoft SC-200 blueprint, detailing Microsoft Sentinel workspace provisioning, data connectors, analytics rule tuning, incident response automation, and Defender XDR integration.
Translates battle-tested Security Operations Center doctrine into structured SIEM correlation workflows, telemetry onboarding priorities, alert triage metrics, and threat-hunting playbooks directly applicable to Microsoft Sentinel rules.
Connects endpoint, identity, and email XDR telemetry directly to Microsoft Sentinel's unified security operations workflow, showing practitioners how to correlate alerts, hunt with KQL across Defender tables, and automate response playbooks.
Establishes a repeatable detection-as-code lifecycle for cloud SIEM teams, guiding engineers from adversary emulation and MITRE ATT&CK mapping through automated rule validation, false-positive suppression, and version-controlled analytics.
Teaches threat hunters how to operationalize STIX/TAXII intelligence feeds, formulate hypothesis-driven hunting campaigns aligned to MITRE ATT&CK, and query endpoint and cloud logs to uncover stealthy adversary persistence.
Applies the Cyber Kill Chain and Diamond Model methodologies to pivoting across indicators of compromise, enriching SIEM alerts with adversary infrastructure context, and orchestrating structured incident response campaigns.
Frames proactive threat hunting as a disciplined, hypothesis-driven practice for modern cloud SIEM teams, walking analysts through telemetry pivoting, behavioral anomaly detection, and repeatable hunt execution across enterprise logs.
Situates Microsoft Sentinel within the broader Azure cloud defense architecture, detailing how Defender for Cloud, Entra ID audit streams, network security logs, and policy guardrails reinforce centralized SIEM visibility.
Guides security architects through unifying Microsoft Defender XDR and Microsoft Sentinel into a single SecOps platform, covering Zero Trust alignment, unified incident correlation, automated remediation, and KQL hunting workflows.
Provides Microsoft's official architectural blueprint for planning and deploying Microsoft Sentinel, addressing multi-workspace governance, Log Analytics cost optimization, ASIM schema normalization, and SOAR automation patterns.
Covers the organizational, procedural, and architectural foundations of operating a 24x7 Security Operations Center, from log retention tiers and SLA escalation matrices to automation workflows and purple-team validation exercises.
Explains the core Azure identity, networking, compute, and key management telemetry sources that feed into Microsoft Sentinel, enabling SIEM engineers to interpret Entra ID, Key Vault, and Defender for Cloud signals accurately.
Delivers hands-on detection engineering and runtime telemetry recipes for cloud-native Kubernetes clusters, serverless workloads, and CI/CD pipelines that feed into modern cloud SIEM and SOAR platforms.
Chronicles the true story of how an astronomer tracked down an international cyber-espionage ring starting from a 75-cent accounting log discrepancy, inspiring generations of SIEM analysts and threat hunters in the art of relentless log forensics.
Synthesizes MITRE's empirical research across enterprise SOCs into eleven operational strategies covering telemetry prioritization, detection engineering governance, analyst burnout prevention, and SIEM maturity measurement.
Blueprints how defensive security teams capture institutional incident-response knowledge into repeatable SOC playbooks, providing foundational workflows that map cleanly to Microsoft Sentinel automation rules and Logic Apps.
Introduces statistical log analysis, anomaly modeling, and exploratory security data visualization principles that help Microsoft Sentinel practitioners turn raw KQL query results into clear, executive-ready threat workbooks.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/6ayky9/microsoft