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Microsoft Sentinel SIEM and Cloud Security

SIEM SOC Operations with Microsoft Sentinel

Build real SOC capabilities with Microsoft Sentinel across SIEM architecture, cloud log ingestion, KQL analytics, incident response, threat hunting, automation, and executive dashboards.

Track: SOC and SIEM
Level: Beginner to Intermediate
Duration: 6-8 Weeks
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✓ Microsoft Sentinel Hands-on Labs | ✓ SOC Workflow Focus | ✓ Job-Ready Security Operations Skills

Sentinel SOC SIEM Architecture Data Ingestion Detect Threats Incident Response Hunt KQL Auto Response

Program Overview

  • End-to-end SOC workflow implementation
  • Microsoft Sentinel setup and architecture
  • Data connectors and real log ingestion labs
  • KQL queries, analytics, and dashboards
  • Detection rules, incident triage, and hunting
  • Logic Apps playbooks for auto-response

Who Should Attend

SOC analysts, cybersecurity engineers, Azure admins, cloud security learners, and IT professionals who want practical SIEM and cloud security operations skills.

Prerequisites

Basic networking and security concepts recommended. Prior SIEM or Azure experience is helpful but not required; fundamentals are covered in the early modules.

What You Get

Hands-on labs, guided Sentinel workspace setup, KQL practice packs, detection engineering templates, incident playbooks, and interview-oriented SOC scenarios.

Course Curriculum

Structured 10-module journey from SIEM basics to production-grade Microsoft Sentinel operations and automation.

Module 1: Introduction to SIEM and Cloud Security

Understand SIEM foundations and how cloud-native security operations differ from traditional deployments.

SIEM Fundamentals

  • What is SIEM (Security Information and Event Management)
  • Traditional SIEM vs Cloud SIEM
  • Benefits of cloud SIEM
  • SIEM architecture

SOC Fundamentals

  • SOC workflow and analyst responsibilities
  • Alert lifecycle from ingestion to closure
  • Use-case engineering basics
  • Process maturity concepts

Microsoft Sentinel Overview

  • What Sentinel does in modern SOC
  • Core capabilities and value
  • Where Sentinel fits in Microsoft security stack
  • Common Sentinel deployment models

Module 2: Azure Fundamentals for Security

Build the Azure foundation needed to deploy and operate Sentinel securely.

Azure Basics

  • Overview of Microsoft Azure
  • Azure portal navigation
  • Subscriptions and resource groups
  • Azure governance basics

Core Azure Services

  • Azure networking basics
  • Azure storage concepts
  • Region and availability concepts
  • Resource organization for security operations

Identity and Access

  • Identity management with Microsoft Entra ID
  • RBAC and least-privilege access
  • Conditional access basics
  • Security best practices for SOC users

Module 3: Microsoft Sentinel Architecture

Design a scalable Sentinel environment with the right ingestion and workspace strategy.

Sentinel Core Components

  • Sentinel components and control plane
  • Log Analytics workspace architecture
  • Data connectors and content hub
  • Analytics and incident engine overview

Ingestion Architecture

  • Data ingestion architecture patterns
  • Agent-based vs agentless collection
  • Connector prioritization strategy
  • Multi-workspace design basics

Commercials and Setup

  • Sentinel pricing and licensing
  • Cost estimation and retention planning
  • Sentinel workspace setup
  • Operational readiness checklist

Module 4: Data Collection and Log Ingestion

Connect key enterprise sources and validate telemetry quality for threat detection.

Connector Configuration

  • Configuring data connectors
  • Using AMA and other agents
  • Connector health and troubleshooting
  • Validation of incoming log streams

Log Sources

  • Windows server log collection
  • Linux server log collection
  • Firewall log integration
  • Cloud service telemetry onboarding

Advanced Ingestion

  • Endpoint security tool integration
  • Syslog integration
  • CEF log ingestion
  • Normalization and schema mapping basics

Module 5: Log Management and Querying

Use KQL effectively to search, filter, correlate, and visualize security telemetry.

KQL Essentials

  • Introduction to Kusto Query Language (KQL)
  • Searching logs and table selection
  • Filtering events and time windows
  • Creating reusable query patterns

Analytical Queries

  • Event log analysis
  • Authentication log investigations
  • Network activity monitoring queries
  • Baseline and anomaly-style query design

Dashboards and Workbooks

  • Building dashboards from KQL
  • Log Analytics workspace queries
  • Query optimization basics
  • Operational reporting views

Module 6: Detection and Analytics Rules

Engineer high-quality detections that reduce noise and improve SOC signal quality.

Rule Creation

  • Creating detection rules
  • Scheduled analytics rules
  • Near real-time rules
  • Alert threshold tuning strategies

Threat Framework Alignment

  • MITRE ATT and CK mapping
  • Threat scenario modeling
  • Use-case prioritization
  • Coverage gap identification

Custom Detection Engineering

  • Alert generation workflows
  • Custom threat detection logic
  • Suppression and false-positive reduction
  • Detection validation testing

Module 7: Incident Management

Operationalize response with triage, investigation, correlation, and closure workflows.

Incident Foundations

  • Understanding incidents in Sentinel
  • Incident severity and prioritization
  • Alert grouping and correlation basics
  • Ownership and escalation paths

Investigation Workflows

  • Incident investigation techniques
  • Timeline analysis
  • Entity investigation graph usage
  • Evidence collection and documentation

Case Management

  • Case management lifecycle
  • Incident response workflow
  • Runbooks and playbook handoffs
  • Post-incident review process

Module 8: Threat Hunting

Use hypothesis-driven hunting to uncover stealthy attacker behavior before alerts fire.

Hunting Methodology

  • Threat hunting methodology
  • Hypothesis-driven hunt planning
  • Data source selection for hunts
  • Hunt cycle execution process

Hunting Queries and Behavior

  • Hunting queries in KQL
  • Behavioral analysis techniques
  • Detecting suspicious activities
  • Pattern and sequence analysis

Threat Intelligence Integration

  • Using threat intelligence feeds
  • IOC matching and enrichment
  • Intelligence-driven detection ideas
  • Hunt-to-detection conversion

Module 9: Automation and Response

Automate repetitive SOC tasks to reduce MTTR and improve consistency of response.

Automation Basics

  • Security automation fundamentals
  • Playbooks in Sentinel
  • Logic Apps integration
  • Trigger and action design patterns

Response Workflows

  • Automated response workflows
  • Incident auto-remediation concepts
  • Containment and notification actions
  • Approval-driven response gates

Automation Governance

  • Playbook versioning and testing
  • Error handling and retry strategies
  • Auditability and control checks
  • SOC integration best practices

Module 10: Dashboards and Visualization

Present actionable insights to SOC teams, managers, and stakeholders through workbooks and reports.

Workbook Design

  • Creating workbooks
  • SOC dashboards
  • Threat intelligence dashboards
  • KPI-first design strategy

Visualization and Reporting

  • Custom visualization techniques
  • Operational and executive reporting
  • Alert and incident trend views
  • Hunt and detection performance dashboards

Capstone Outcome

  • Build an end-to-end Sentinel SOC dashboard
  • Present incident lifecycle metrics
  • Map detection coverage to MITRE ATT and CK
  • Create role-based security reporting packs

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