BEST OT/ICS CYBERSECURITY TRAINING AND GEN AI TRAINING IN DELHI NCR AND IN INDIA
1. OT/ICS Cybersecurity Training
Focus: Securing the physical hardware and software that control industrial processes (e.g., power plants, manufacturing, oil & gas). Unlike IT security, the priority here is Safety and Availability over Confidentiality (the "CIA triad" is flipped to "AIC").
Key Curriculum Topics:
Architecture: The Purdue Model (Levels 0–4), Air-gapping, and Zones/Conduits.
Protocols: Deep dives into industrial protocols like Modbus, DNP3, BACnet, and PROFINET (and why they are often insecure by design).
Standards: IEC 62443 (the gold standard for industrial security), NIST SP 800-82.
Threats: APTs targeting infrastructure (e.g., Triton, Stuxnet), ransomware in OT, and "Living off the Land" attacks.
Hands-on Labs: Configuring PLCs/RTUs, setting up IDSs (like Nozomi or Dragos), and incident response for physical systems.
2. Generative AI Training
Focus: Teaching professionals how to build, fine-tune, or effectively use AI models (LLMs) that create new content (text, code, images) rather than just analyzing existing data.
Key Curriculum Topics:
Foundations: How LLMs work (Transformers, tokens, parameters), and the difference between Discriminative vs. Generative AI.
Prompt Engineering: Zero-shot, few-shot, and Chain-of-Thought prompting to get reliable outputs.
Development: Using APIs (OpenAI, Gemini, Anthropic), RAG (Retrieval-Augmented Generation) to connect AI to private data, and fine-tuning models.
Risk & Ethics: Hallucinations, bias, data privacy (preventing data leakage), and "Shadow AI" in the workplace.
Use Cases: Code generation, automated reporting, and customer service automation.
3. The Convergence: Gen AI for OT/ICS Defense
This is the cutting-edge "sweet spot" where training programs are heading. It focuses on using Gen AI as a force multiplier for industrial defenders.
| Application Area | Training Focus |
| Incident Response | Using Gen AI to instantly summarize complex ICS alert logs and draft incident reports for human review, reducing "mean time to understand" (MTTU). |
| Threat Intelligence | Training analysts to use AI to digest thousands of pages of vendor advisories (e.g., Siemens, Rockwell) and map them to their specific asset inventory. |
| Secure Coding | Using AI coding assistants to write secure PLC logic (Structured Text) or Python scripts for SCADA interactions, with a heavy emphasis on verification. |
| Red Teaming | Using Gen AI to generate sophisticated phishing simulations or novel attack scenarios to test the resilience of the OT security team. |
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