Listen to this Post
Introduction:
Security Information and Event Management (SIEM) systems form the operational backbone of every modern Security Operations Center (SOC). By aggregating and correlating logs from cloud infrastructures, endpoints, and network devices, SIEM empowers analysts to detect anomalies, prioritize high-risk incidents, and respond to threats in real time—making continuous training on platforms like Splunk, Microsoft Sentinel, and IBM QRadar essential for cybersecurity professionals.
Learning Objectives:
- Understand core SIEM concepts: log aggregation, normalization, correlation, and alerting.
- Gain hands-on familiarity with free training resources for QRadar, Splunk, Sentinel, ArcSight, and Elastic.
- Learn practical commands and queries to analyze logs, detect threats, and harden SIEM deployments on Windows and Linux.
You Should Know
- Windows Logging & Sysmon Fundamentals for SIEM Ingestion
Before feeding logs into any SIEM, you must enable and configure the right data sources. Windows Event Logging and Sysmon (System Monitor) provide deep telemetry for endpoints.
Step‑by‑step guide:
- Enable Windows auditing via Group Policy or PowerShell:
auditpol /set /category:"Logon/Logoff" /subcategory:"Logon" /success:enable /failure:enable auditpol /set /category:"Process Tracking" /subcategory:"Process Creation" /success:enable
- Install Sysmon from Microsoft Sysinternals. Download
Sysmon64.exe, then deploy with a configuration file:Sysmon64.exe -accepteula -i sysmonconfig.xml
(Example config: https://github.com/SwiftOnSecurity/sysmon-config)
- Verify events are generated in
Applications and Services Logs/Microsoft/Windows/Sysmon/Operational. - Forward these logs to your SIEM using WinRM, Azure Monitor Agent (for Sentinel), or a universal forwarder (Splunk).
- Analyze Sysmon event IDs – Event 1 (process creation), Event 3 (network connection), Event 22 (DNS query) – to detect fileless malware or C2 callbacks.
Why this matters: Without structured endpoint logging, your SIEM is blind to host-level intrusions. Sysmon enriches Windows telemetry to uncover attacker tradecraft.
- Setting Up a Free Splunk Lab and Performing Basic Searches
Splunk’s free tier (500 MB/day) allows you to practice on live data. Use the training resources listed (Basic Searching, Practical Splunk: Zero to Hero).
Step‑by‑step guide:
- Download Splunk Free from https://www.splunk.com/en_us/download.html (choose .deb for Linux or .msi for Windows).
2. Install and start:
- Linux: `sudo dpkg -i splunk-.deb` then `sudo /opt/splunk/bin/splunk start –accept-license`
– Windows: Run installer and launch Splunk Enterprise service.
- Ingest sample logs – navigate to Settings > Add Data → Upload a Windows Event log file or monitor a directory.
- Run basic searches in Search & Reporting app:
index= sourcetype="WinEventLog:Security" EventCode=4625 Failed logons | stats count by Account_Name, Source_Network_Address
index= Sysmon EventID=3 DestinationPort=443 | table ComputerName, DestinationIp, Image
- Create an alert when failed logons exceed 5 in 1 minute: Save As > Alert → trigger when
count > 5.
Pro tip: Use the `transaction` command to correlate multiple events into a single session – ideal for tracking a privilege escalation attempt across process creations.
- Crafting Ariel Query Language (AQL) Rules for IBM QRadar
QRadar’s AQL is the native language for custom searches and offenses. The free QRadar 101 and Ariel Query Language Guide resources are excellent starting points.
Step‑by‑step guide:
- Access the Log Activity tab in QRadar, then switch to Ariel Query.
- Basic syntax – select fields from a specific time range:
SELECT destinationIP, username, eventCount FROM events WHERE username != 'unknown' LAST 4 HOURS
- Detect brute‑force attacks (count failed logins per source IP):
SELECT sourceIP, COUNT() AS failCount FROM events WHERE eventName = 'Failed Login' GROUP BY sourceIP HAVING failCount > 10
- Convert to a custom rule – go to Offenses > Rules > Add Rule, set test condition to pull data from your AQL.
- Schedule the query as a report for weekly SOC reviews.
Troubleshooting: If QRadar doesn’t show expected logs, verify the Log Source is correctly configured with the right protocol (Syslog, WinCollect, etc.) and that the DSM (Device Support Module) is assigned.
- Implementing Log Correlation with Elastic Stack (ELK) on Linux
Elastic’s free tier (Elastic Stack) provides a powerful open‑source SIEM alternative. The listed Elastic Fundamentals and Manual resources guide full deployment.
Step‑by‑step guide (Ubuntu 22.04):
- Install Elasticsearch, Kibana, and Filebeat using official APT repo:
wget -qO - https://artifacts.elastic.co/GPG-KEY-elasticsearch | sudo apt-key add - sudo apt-add-repository "deb https://artifacts.elastic.co/packages/8.x/apt stable main" sudo apt update && sudo apt install elasticsearch kibana filebeat
2. Start services:
sudo systemctl start elasticsearch kibana filebeat sudo systemctl enable elasticsearch kibana filebeat
3. Configure Filebeat to read syslog (`/etc/filebeat/filebeat.yml`):
filebeat.inputs: - type: log enabled: true paths: - /var/log/syslog output.elasticsearch: hosts: ["localhost:9200"]
4. Load the SIEM dashboards:
sudo filebeat setup --dashboards
5. Create a correlation rule – In Kibana → Security → Rules → Create new rule. For example, detect `sudo` failures followed by `passwd` changes within 1 minute.
Mitigation benefit: Elastic’s machine learning job can automatically detect unusual port‑scanning patterns without manual threshold tuning.
- Building a Microsoft Sentinel Lab with Free Tier (Azure)
Microsoft Sentinel offers a free trial for 31 days with up to 10 GB/day ingestion. Use the SOC 101 and Level 400 training to learn KQL (Kusto Query Language).
Step‑by‑step guide:
- Create an Azure free account (includes $200 credit for 30 days).
- Deploy a Log Analytics workspace – `az monitor log-analytics workspace create –resource-group YourRG –workspace-name sentinel-logs`
3. Enable Sentinel on that workspace from Azure Marketplace → Search “Microsoft Sentinel” → Add. - Connect a data source – Use the Windows Event Forwarding connector to stream Sysmon events from an on‑prem VM:
– Install Azure Monitor Agent on the VM.
– Create a Data Collection Rule (DCR) to select `Security` and `Sysmon` event logs.
5. Write KQL queries to detect anomalies:
SecurityEvent | where EventID == 4625 and AccountType == "User" | summarize FailedAttempts = count() by Account, IpAddress, bin(TimeGenerated, 5m) | where FailedAttempts > 5
6. Create an analytics rule – Analytics > Create > Scheduled query rule → paste the KQL, set frequency to 5 minutes, and generate an incident.
Hardening tip: Use Sentinel’s UEBA (User and Entity Behavior Analytics) to detect impossible travel – a single user logging from New York and London within 30 minutes triggers a high‑severity alert.
- Analyzing Sysmon Events with PowerShell for SIEM Testing
Before pushing logs to a SIEM, you can use PowerSIEM (reference from the training list) to perform local event analysis and filter noisy events.
Step‑by‑step guide:
- Retrieve Sysmon events from the Windows Event Log:
Get-WinEvent -LogName "Microsoft-Windows-Sysmon/Operational" -MaxEvents 50 | Where-Object {$_.Id -eq 1} - Extract process command lines (often used for obfuscated scripts):
$events = Get-WinEvent -FilterHashtable @{LogName='Microsoft-Windows-Sysmon/Operational'; ID=1} $events | ForEach-Object { $_.Properties[bash].Value Property index 8 holds CommandLine in Sysmon Event 1 } - Filter out legitimate parent processes (e.g.,
explorer.exe,services.exe) to reveal suspicious launches:$events | Where-Object {$_.Properties[bash].Value -notin 'explorer.exe','services.exe'} - Export to CSV and feed into a free SIEM like Elastic with custom sourcetype:
$events | Export-Csv -Path C:\Security\sysmon_alerts.csv -NoTypeInformation
Why this matters: Attackers often use LOLBins (Living‑off‑the‑Land Binaries) that are legitimate but maliciously abused. PowerShell analysis of Sysmon command lines can flag `rundll32.exe` spawning `powershell.exe` – a classic indicator of code injection.
- Cloud Hardening & Chronicle Security (Google Cloud) Log Ingestion
Chronicle SIEM (now part of Google SecOps) requires proper cloud logging setup. Use the free Chronicle training link to learn how to ingest GCP audit logs and VPC flow logs.
Step‑by‑step guide:
1. Enable GCP audit logs for all services:
gcloud services enable cloudasset.googleapis.com logging.googleapis.com gcloud logging sinks create chronicle-sink storage.googleapis.com/chronicle-bucket --include-children
2. Forward logs to Chronicle via Pub/Sub sink. Create a topic:
gcloud pubsub topics create chronicle-feed gcloud logging sinks update chronicle-sink --pubsub-topic=chronicle-feed
3. Create custom detection rules in Chronicle (YARA-L syntax):
rule: Excessive_GCE_SSH_Failures condition: $ssh_fail.metadata.event_type = "GCE_SSH_FAIL" $ssh_fail.principal.ip >= 10
4. Monitor privileged IAM changes – Look for `SetIAMPolicy` events that add a new owner role to a service account.
5. Automate response with Cloud Functions: when Chronicle raises a high‑severity alert, trigger a Cloud Function that revokes the suspicious IAM binding.
Key takeaway: Without proper cloud SIEM integration, misconfigured buckets and privilege escalations can go unnoticed for weeks. Chronicle’s backward‑indexing allows you to query logs up to 12 months after ingestion – ideal for forensic investigations.
What Undercode Say:
- Free resources are abundant but require a structured learning path – The curated list of 30+ videos, guides, and PDFs across QRadar, Splunk, Sentinel, and ArcSight gives you a cost‑free roadmap from beginner to intermediate SOC analyst.
- Hands‑on practice with real logs is non‑negotiable – Simply watching tutorials won’t build muscle memory. Setting up a local Elastic stack or Splunk free instance, running the commands provided above, and creating your own correlation rules is the only way to retain SIEM skills.
- Cross‑platform knowledge distinguishes you – Most SOCs use a mix of Splunk, Sentinel, and sometimes QRadar. Knowing how to translate a detection from KQL to SPL or AQL makes you a versatile threat hunter.
- Sysmon + PowerShell is the power combo for Windows – Attackers increasingly evade traditional event logs. Mastering Sysmon event IDs and using PowerSIEM to filter noise gives you a significant advantage over analysts who rely solely on Security Event Logs.
- Cloud SIEM is not optional – With workloads moving to AWS, Azure, and GCP, understanding Chronicle’s log ingestion and Sentinel’s KQL for cloud audit logs is as critical as traditional on‑prem SIEM.
Analysis: The post highlights a vital industry truth – SOC teams face a severe skills gap in SIEM operations. By offering these free training links, the author lowers the barrier to entry for aspiring analysts. However, the real value lies in combining these resources with practical, command‑line driven exercises (like those we built above). Without the ability to parse a Sysmon event or write an AQL query, a certification or video course remains theoretical.
Prediction:
As AI‑driven SOC automation matures, SIEM platforms will shift from rule‑based correlation to real‑time anomaly detection using unsupervised learning. By 2027, cloud‑native SIEMs like Microsoft Sentinel and Google Chronicle will dominate, while legacy on‑prem SIEMs will become niche. The demand for hybrid skills – understanding both classic query languages (SPL, AQL) and new Natural Language Detection (NLD) interfaces – will surge. Analysts who master free training today will lead tomorrow’s autonomous SOCs, where AI suggests response playbooks and hunts in petabyte‑scale logs without manual thresholds.
▶️ Related Video (78% Match):
🎯Let’s Practice For Free:
IT/Security Reporter URL:
Reported By: Gmfaruk %F0%9D%97%99%F0%9D%97%BF%F0%9D%97%B2%F0%9D%97%B2 – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
