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Cyber attackers are always ahead, but Generative AI (GenAI) tools like ChatGPT can help bridge the gap in OT/ICS cybersecurity. By leveraging AI, security professionals can enhance their defenses, automate tasks, and improve incident response. Below are key applications and practical implementations of GenAI in cybersecurity.
You Should Know:
1. Designing Secure OT Networks
GenAI can generate network segmentation strategies, firewall rules, and best practices for securing ICS/OT environments.
Example Commands & Code:
Generate iptables rules for OT network segmentation sudo iptables -A INPUT -p tcp --dport 502 -j DROP Block Modbus (port 502) from untrusted networks sudo iptables -A INPUT -s 192.168.1.0/24 -p tcp --dport 443 -j ACCEPT Allow HTTPS from internal subnet
AI
“Generate a secure network architecture for an OT environment with PLCs, HMIs, and SCADA systems, including VLAN segmentation recommendations.”
2. Writing a Policy for Remote Access
AI can draft remote access policies, including VPN configurations and multi-factor authentication (MFA) enforcement.
Example Code (PowerShell for Windows):
Enforce MFA for Remote Desktop Users Set-RDSessionCollectionConfiguration -CollectionName "OT_Access" -UserGroup "OT_Engineers" -RequireMultiFactorAuth $true
AI
“Create a remote access security policy for OT engineers, including least privilege access and session logging.”
3. Creating a Realistic IR Tabletop Exercise
AI can simulate attack scenarios and generate incident response playbooks.
Example Linux Command for Log Analysis:
Search for suspicious SSH login attempts
grep "Failed password" /var/log/auth.log | awk '{print $9}' | sort | uniq -c | sort -nr
AI
“Generate a tabletop exercise scenario where an attacker breaches an OT network via a phishing attack and moves laterally to a PLC.”
4. Understanding OT Network Monitoring
AI can suggest SIEM rules and anomaly detection techniques.
Example Splunk Query:
index=otsyslog sourcetype=modbus (event_code="Unauthorized Access" OR event_code="Function Code Abuse") | stats count by src_ip, dest_ip
AI
“What are the top 5 indicators of a compromised OT device, and how can they be detected in network logs?”
5. Building an OT Vulnerability Management Program
AI can recommend scanning tools and prioritization strategies.
Example Nmap Scan for OT Devices:
nmap -sT -Pn -p 502,102,44818 --script modbus-discover.nse 192.168.1.0/24
AI
“Generate a vulnerability management workflow for OT systems, including patch assessment and compensating controls.”
What Undercode Say
GenAI is revolutionizing OT/ICS cybersecurity by automating policy creation, threat detection, and incident response. However, AI-generated content should always be validated by experts. Combining AI with hands-on security practices—such as network segmentation, log monitoring, and strict access controls—can significantly improve resilience against evolving threats.
Expected Output:
- AI-Generated Policies (Remote Access, IR Playbooks)
- Automated Network Hardening Scripts (iptables, PowerShell)
- OT-Specific SIEM Rules (Splunk, Elasticsearch)
- Vulnerability Scanning Commands (Nmap, Nessus)
Prediction
As AI evolves, we will see more specialized LLMs trained exclusively on OT/ICS threat intelligence, enabling real-time attack simulation and automated defense adjustments.
Reference:
How GenAI Can Improve Cybersecurity | Mike Holcomb
IT/Security Reporter URL:
Reported By: Mikeholcomb Cyber – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
