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🔗 Essential KQL Guides – Basics for SOC Analysts [1-4] by Thomas Bründl
1️⃣ KQL Guide 1
2️⃣ KQL Guide 2
3️⃣ KQL Guide 3
4️⃣ KQL Guide 4
You Should Know:
KQL (Kusto Query Language) is a powerful tool for querying and analyzing data in Microsoft’s Azure Data Explorer, Log Analytics, and other services. Below are some practical commands and examples to help you get started with KQL:
1. Basic Query Structure
TableName | where ColumnName == "Value" | project Column1, Column2
2. Filtering Data
SecurityEvent | where EventID == 4624 | where TimeGenerated > ago(1d)
3. Aggregating Data
SecurityEvent | summarize count() by Account
4. Joining Tables
SecurityEvent | join kind=inner (SigninLogs) on Account
5. Time-Based Analysis
SecurityEvent | where TimeGenerated between (ago(7d) .. now()) | summarize count() by bin(TimeGenerated, 1h)
6. Advanced Query with Functions
let suspiciousAccounts = SecurityEvent | where EventID == 4625 | distinct Account; SecurityEvent | where Account in (suspiciousAccounts)
What Undercode Say:
KQL is an essential skill for SOC analysts, enabling efficient threat hunting, log analysis, and incident response. Mastering KQL commands like filtering, aggregating, and joining tables can significantly enhance your ability to analyze security data. For further learning, explore the provided guides and practice these commands in your Azure or Log Analytics environment.
Additional resources:
Practice these commands to strengthen your KQL skills and improve your SOC workflows.
References:
Reported By: Dixitakshay Kql – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
