The Future of SOC Analysts: AI and Automation in Cybersecurity

Listen to this Post

Featured Image
As technology evolves, the role of SOC (Security Operations Center) analysts—especially those in Tier 1 and Tier 2—is being reshaped by AI and automation. Tools like ThinkingSOC now integrate chat-based SOC event analysis, reducing manual effort in incident response. However, challenges remain in production-level deployment, particularly when integrating AI models like Gemini with SIEMs such as Splunk.

You Should Know:

1. AI-Powered SOC Automation

AI can now:

  • Analyze alerts and suggest remediation steps.
  • Automate Threat Hunting using RAG (Retrieval-Augmented Generation).
  • Write Splunk queries for root cause analysis.

Example Splunk Query for Threat Detection:

index=security_logs sourcetype=firewall action=blocked src_ip= 
| stats count by src_ip 
| sort -count 
| head 10 

2. Challenges in AI-SIEM Integration

  • Token Limits: Models like Gemini support 1M tokens, but real-time SOC data may exceed this.
  • False Positives: AI may misinterpret logs without proper context.
  • API Latency: Delays in AI responses can slow incident response.

3. Linux Commands for SOC Analysts

  • Log Analysis with grep:
    grep "Failed password" /var/log/auth.log | awk '{print $9}' | sort | uniq -c | sort -nr 
    
  • Network Traffic Monitoring:
    tcpdump -i eth0 -n 'port 443' -w https_traffic.pcap 
    
  • Process Investigation:
    ps aux | grep -i "suspicious_process" 
    

4. Windows Commands for Incident Response

  • Check Suspicious Connections:
    netstat -ano | findstr ESTABLISHED 
    
  • Analyze Event Logs:
    Get-WinEvent -LogName Security -MaxEvents 50 | Where-Object {$_.ID -eq 4625} 
    

What Undercode Say:

The future of SOC operations lies in human-AI collaboration. While AI can handle repetitive tasks, analysts must focus on complex threat analysis, policy adjustments, and adversarial thinking. Key takeaways:
– AI is a tool, not a replacement.
– Automation reduces workload but requires fine-tuning.
– SOC teams must upskill in AI-driven security tools.

Prediction:

By 2030, Tier 1 SOC roles may shift to AI oversight, while human analysts focus on strategic defense and APT (Advanced Persistent Threat) hunting.

Expected Output:

AI-driven SOC automation is advancing, but human expertise remains critical for handling sophisticated threats. 

Relevant URLs:

IT/Security Reporter URL:

Reported By: Mohammad Mirasadollahi – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

Join Our Cyber World:

💬 Whatsapp | 💬 Telegram