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Introduction:
Cyber Threat Intelligence (CTI) is the proactive backbone of modern security operations, enabling SOC analysts to anticipate attacks rather than just react. SOCRadar University has just released 11 free, level‑based courses covering fundamentals, advanced dark web intelligence, GenAI for SOC, AI in cybersecurity (three volumes), and a complete ransomware defense masterclass. This article breaks down the full course catalog, provides a step‑by‑step enrollment guide, and delivers practical commands and tutorials to apply what you learn—from Linux threat hunting to Windows memory analysis.
Learning Objectives:
- Enroll in and complete 11 free CTI and AI cybersecurity courses from SOCRadar University using a work email and a valid coupon.
- Apply threat intelligence gathering techniques using open‑source tools on Linux and Windows to enrich indicators of compromise (IOCs).
- Implement AI‑driven detection and ransomware mitigation strategies based on course content, including GenAI for SOC and ransomware defense.
You Should Know:
1. Full Course Catalog & Enrollment Walkthrough
The following 11 free courses are organized into three levels. All are offered by SOCRadar University (https://lnkd.in/enKXM_Ww) with coupon code SOCRadar_Uni_May_2026.
Level 1 – Fundamentals
- Cyber Threat Intelligence Fundamentals for SOC Analysts → https://lnkd.in/ervyaDC7
- Fundamentals of Dark Web → https://lnkd.in/eZHHzd5B
- Fundamentals A1 – Dark Web Crash Course – Intelligence from the Underground → https://lnkd.in/eY9SKhjT
Level 2 – Advanced
- Mastering Cyber Threat Intelligence for SOC Analysts → https://lnkd.in/ehx72mTM
- Mastering Cyber Threat Landscape → https://lnkd.in/erYr-8hy
- Mastering GenAI Tools for SOC Analysts → https://lnkd.in/ehBVBki3
- Mastering Dark Web Intelligence for Cybersecurity Professionals → https://lnkd.in/eDr6zRcB
Level 3 – Expert
- Mastering AI in Cybersecurity From Theory to Practice Vol. I → https://lnkd.in/eH6ueD3W
- Mastering AI in Cybersecurity From Theory to Practice Vol II → https://lnkd.in/ezWpr4VY
- Mastering AI in Cybersecurity From Theory to Practice Vol III → https://lnkd.in/efJ7RfaB
- Ransomware Defense Masterclass: Prevention, Response & Recovery → https://lnkd.in/etNpuPiq
Step‑by‑step enrollment guide:
- Go to https://lnkd.in/enKXM_Ww (SOCRadar University registration).
- Register using your work email (personal emails like Gmail may be rejected).
- Wait for approval email (usually within 24‑48 hours).
- After approval, log in and navigate to each course page.
5. At checkout, apply coupon: `SOCRadar_Uni_May_2026`.
- Complete all 11 courses at your own pace – they remain free after coupon application.
2. Practical CTI Gathering with Linux Command Line
After taking the CTI fundamentals course, solidify your skills with real‑world IOC enrichment. Use these Linux commands to pull threat intelligence from public sources.
Extract hashes from a suspicious file and query VirusTotal (API required):
Generate SHA256 hash of a local file
sha256sum suspicious_sample.exe
Query VirusTotal (replace YOUR_API_KEY)
curl -s "https://www.virustotal.com/api/v3/files/{hash}" \
-H "x-apikey: YOUR_API_KEY" | jq '.data.attributes.last_analysis_stats'
Use theHarvester for passive email/domain intelligence:
Install (Kali Linux or via pip) sudo apt install theharvester -y Gather emails and hosts from a target domain theharvester -d example.com -b google,linkedin,bing -l 500 -f results.html
Check IP reputation with AbuseIPDB:
curl -G https://api.abuseipdb.com/api/v2/check \ --data-urlencode "ipAddress=8.8.8.8" \ -d "maxAgeInDays=90" \ -H "Key: YOUR_API_KEY" \ -H "Accept: application/json" | jq '.data.abuseConfidenceScore'
These techniques directly support the “Mastering Cyber Threat Landscape” course objectives.
3. Dark Web Intelligence Collection (Windows & Tor)
The dark web fundamentals course teaches you to monitor underground forums safely. On Windows, install Tor Browser and use Python scripts to automate onion site scraping (within legal boundaries, for authorized CTI only).
Step‑by‑step:
- Download Tor Browser from https://www.torproject.org/ – install and launch.
- In Windows PowerShell, use `curl` (or
Invoke-WebRequest) to fetch an onion site via Tor proxy:Set Tor proxy (default 127.0.0.1:9050) $proxy = New-Object System.Net.WebProxy("socks5://127.0.0.1:9050") $request = [System.Net.WebRequest]::Create("http://expionionaddress.onion") $request.Proxy = $proxy $response = $request.GetResponse() $reader = New-Object System.IO.StreamReader($response.GetResponseStream()) $reader.ReadToEnd() - For automated pastebin/dark web monitoring, set up a Python script using `requests` with SOCKS5 proxy:
import requests session = requests.Session() session.proxies = {'http': 'socks5h://127.0.0.1:9050', 'https': 'socks5h://127.0.0.1:9050'} response = session.get('http://someonion.onion/search?q=breach') print(response.text)Always ensure you have written authorization before monitoring any dark web sources.
-
GenAI for SOC Analysts – Automating Log Analysis
One of the advanced courses teaches GenAI tools. Here’s how to use a local open‑source LLM (Ollama) to summarize firewall logs on Linux.
Installation & basic prompt:
Install Ollama curl -fsSL https://ollama.com/install.sh | sh Pull a lightweight model ollama pull llama3.2:1b Feed a sample log file cat /var/log/syslog | ollama run llama3.2:1b "Extract all failed SSH login attempts from this log and count them:"
For Windows, use WSL2 with the same commands, or integrate with PowerShell and Azure OpenAI (if licensed). GenAI can reduce false positives by correlating SIEM alerts with threat intelligence feeds.
5. Ransomware Defense – Practical Mitigation & Commands
The Ransomware Defense Masterclass emphasizes prevention, response, and recovery. Combine it with these host‑level controls.
Linux – Use `auditd` to monitor suspicious file deletions/renames:
sudo auditctl -w /home -p wa -k ransomware_watch sudo auditctl -w /etc -p wa -k ransomware_watch ausearch -k ransomware_watch --format text | mail -s "Ransomware alert" [email protected]
Windows – Enable Controlled Folder Access via PowerShell:
Enable Microsoft Defender's ransomware protection Set-MpPreference -EnableControlledFolderAccess Enabled Add protected folders Add-MpPreference -ControlledFolderAccessProtectedFolders "C:\Users\Documents" Add-MpPreference -ControlledFolderAccessProtectedFolders "C:\Users\Desktop" Block specific processes (e.g., wscript, powershell from temp) Add-MpPreference -ControlledFolderAccessAllowedApplications "C:\Windows\System32\notepad.exe" -Disable
Recovery command – List and restore shadow copies (if not deleted):
vssadmin list shadows Copy files from an older shadow copy Copy-Item "\?\GLOBALROOT\Device\HarddiskVolumeShadowCopy1\Users\Documents\" -Destination "C:\Restored\" -Recurse
- AI in Cybersecurity – Deploying a Simple ML‑Based Anomaly Detector
The three AI volumes transition theory to practice. Here’s a Python anomaly detection script using `scikit-learn` – perfect for network traffic baselining.
train_anomaly_detector.py
import pandas as pd
from sklearn.ensemble import IsolationForest
import joblib
Load NetFlow or Zeek logs (features: bytes_out, packets_in, duration)
df = pd.read_csv('normal_traffic.csv')
X = df[['bytes_out', 'packets_in', 'duration']]
model = IsolationForest(contamination=0.01, random_state=42)
model.fit(X)
Save model for real-time use
joblib.dump(model, 'anomaly_model.pkl')
Predict new traffic
new = [[1500, 100, 0.5], [80000, 5000, 120.0]]
pred = model.predict(new) -1 = anomaly, 1 = normal
print(pred)
Run on a Linux server with `cron` or as a systemd service to feed live netflow data. Combine with the course’s feature engineering lessons.
7. Cloud Hardening & API Security Integration
Many SOC analysts now work with cloud logs. After completing the AI and CTI courses, implement API security checks.
Check AWS S3 bucket permissions for public exposure (AWS CLI):
aws s3api get-bucket-acl --bucket your-bucket-name aws s3api get-bucket-policy-status --bucket your-bucket-name
Test API endpoints for information disclosure (using `curl` on Linux):
Check for GraphQL introspection leak
curl -X POST https://api.target.com/graphql -H "Content-Type: application/json" \
-d '{"query":"{__schema{types{name fields{name}}}}"}'
Look for excessive error details
curl -X GET "https://api.target.com/users/999999" -H "Authorization: Bearer fake"
Windows – Use Postman’s Newman CLI to run security test collections:
Install Newman (requires Node.js) npm install -g newman Run a collection that tests for OWASP API Top 10 newman run api_security_tests.json --reporters cli,json
What Undercode Say:
- Key Takeaway 1: Free, structured CTI courses from a reputable vendor (SOCRadar) lower the barrier for SOC analysts to upskill in dark web intelligence, GenAI, and ransomware defense – use the coupon before it expires.
- Key Takeaway 2: Practical application of these courses requires hands‑on command line and scripting. Combining academic theory with the provided Linux/Windows commands (IOC enrichment, Tor‑based collection, anomaly detection) transforms knowledge into operational readiness.
- Analysis: The three‑level curriculum design mirrors real‑world SOC career progression. However, work email restrictions might exclude students and independent researchers – consider using your employer’s or academic institute’s domain. The AI volumes are especially timely as security teams race to adopt LLMs for log analysis. Pair the ransomware course with offline backups and immutable storage to achieve true resilience.
Prediction:
By early 2027, free CTI upskilling programs like this will become the norm, but vendors will increasingly gate advanced modules (Level 3) behind paid subscriptions or product trials. SOC analysts who complete all 11 courses now will gain a competitive edge in leveraging GenAI for alert triage and dark web monitoring. Meanwhile, ransomware attack surfaces will shift to AI‑generated social engineering, making the AI in cybersecurity volumes essential for staying ahead. Expect LinkedIn profiles that list these SOCRadar certifications to see a 30–40% higher recruiter engagement in threat intelligence roles.
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