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GENAI + CYBERSECURITY

GenAI for Cybersecurity Build AI-Powered Security Solutions

Learn how to combine Generative AI, LLMs, RAG, fine-tuning, AI agents and cybersecurity to build practical AI-powered security solutions.

GENERATIVE AI LLMs RAG FINE-TUNING AI AGENTS SECURITY COPILOTS THREAT INTELLIGENCE AI SECURITY
START GENAI SECURITY TRAINING → EXPLORE COURSE →
GENAI SECURITY COMMAND CENTER
root@genai-sec:~$ initialize_pipeline
[+] Loading open AI model...
[+] Connecting security knowledge...
[+] Initializing RAG + agent layer...
GENAI
SECURITY
[*] Security Copilot → READY
[*] Threat Intelligence → READY
[*] Detection Agent → READY
LLM Models
RAG Knowledge
AGENT Automation
SECURE Governance
11 Comprehensive Modules
~29 H Total Learning
24 H Course Content
Hands-On AI Security Projects
AI + CYBERSECURITY SKILL MATRIX

Turn AI Knowledge Into Security Capabilities

Learn the AI technologies, development concepts and cybersecurity workflows needed to build practical GenAI-powered security solutions.

Who Is This For?

TARGET_ROLES
01
Cybersecurity Professionals
02
SOC Analysts
03
Security Engineers
04
Ethical Hackers
05
AI / ML Professionals
06
Developers
07
Security Researchers
08
AI + Cybersecurity Learners

What You Will Learn

SKILL_MATRIX
AI_01

Generative AI & LLMs

Understand models, agents, transformers, tokens and the GenAI ecosystem.

AI_02

Python & Open Models

Work with Python, Hugging Face, PyTorch and open-source models.

AI_03

Fine-Tuning

Prepare security datasets and explore parameter-efficient model fine-tuning.

AI_04

RAG Applications

Build retrieval pipelines using embeddings, vector stores and security documents.

SEC_05

Security Copilots

Combine logs, CTI, playbooks, RAG and models into security assistants.

SEC_06

AI Detection Agents

Explore tool calling, triage agents, enrichment and human approval workflows.

THREAT INTEL IOC + CTI Workflows
AI SECURITY Guardrails + Protection
RAG Knowledge Retrieval
AGENTS Security Automation
GOVERNANCE Evaluation + Monitoring
GENAI SECURITY BUILDER ROADMAP

From AI Foundations to Security Solutions

Follow the complete 11-module path from Python, models and datasets to fine-tuning, RAG, security copilots, AI agents and GenAI security.

MODULE 00 2 HOURS

Understanding AI & ML Prerequisites

Build the foundation with Generative AI, agents, Python and the open-source AI stack.

GenAI Python Transformers PyTorch Hugging Face
● Setup AI Environment + Run Model
00
MODULE 01 1.5 HOURS

GenAI Meets Cybersecurity

Explore SOC use cases, alert triage, phishing detection and GenAI risk.

SOC Alert Triage Phishing CTI OWASP LLM
● Map Cybersecurity Use Cases
01
MODULE 02 2 HOURS

How LLMs Actually Work

Understand transformers, attention, context, model types and quantization.

Transformers Tokens Attention Quantization
● Compare Model Performance
02
MODULE 03 2 HOURS

Datasets — Formats & Model Data

Prepare cybersecurity datasets while learning data quality, cleaning, bias and leakage.

JSONL Alpaca ShareGPT Data Hygiene
● Build Security Training Dataset
03
MODULE 04 2 HOURS

Fine-Tuning with Unsloth

Explore LoRA, QLoRA, PEFT, SFTTrainer, training parameters and model export.

Unsloth LoRA QLoRA PEFT GGUF
● Fine-Tune Security Model
04
MODULE 05 2 HOURS

RAG Fundamentals & Architecture

Build retrieval systems using embeddings, vector stores, chunking and hybrid search.

RAG Embeddings Chroma pgvector Retrieval
● Build Security RAG Pipeline
05
MODULE 06 2 HOURS

Building a Security Copilot

Combine logs, CTI, playbooks, RAG and models into a practical security assistant.

LangChain LlamaIndex CTI Logs
● Build Security Copilot
06
MODULE 07 2.5 HOURS

Building Detection & Triage Agents

Learn tool calling, agent loops, IOC enrichment, recommended actions and approval workflows.

Tool Calling Agents IOC Triage Human-in-Loop
● Build Alert-Triage Agent
07
MODULE 08 1.5 HOURS

Threat Intelligence with GenAI

Extract IOCs, summarize reports and advisories, and connect findings with MITRE ATT&CK.

IOC Extraction CTI CVE MITRE ATT&CK
● Map CTI to MITRE ATT&CK
08
MODULE 09 2 HOURS

Securing the GenAI Deployment

Protect AI applications with access control, filtering, logging, audit trails and guardrails.

PII Secrets Guardrails Logging
● Add AI Security Guardrails
09
MODULE 10 1.5 HOURS

Evaluation, Monitoring & Governance

Evaluate model quality, monitor hallucinations and drift, and understand governance considerations.

Evaluation Monitoring Drift Governance
● Build Evaluation Scorecard
10
01 Learn AI → 02 Understand LLMs → 03 Prepare Data → 04 Fine-Tune → 05 Build RAG → 06 Deploy → 07 Secure
GENAI SECURITY TECHNOLOGY STACK

From AI Models
to Security Automation

Work across the modern GenAI security stack — from Python and open models to RAG, AI agents, security copilots, threat intelligence and AI security.

⚡ TECHNOLOGY STACK

STACK READY
Python AI development
Hugging Face Models & datasets
PyTorch AI framework
Unsloth Fine-tuning
Ollama Local models
LangChain AI workflows
LlamaIndex AI data pipelines
RAG Knowledge retrieval
Vector DBs Semantic search
AI Agents Security automation
MITRE ATT&CK Threat mapping
OWASP LLM AI security

◈ GENAI SECURITY WORKFLOW

BUILD PIPELINE
01

MODEL FOUNDATION

Python, Transformers, open models, model fundamentals and compute basics.

→
02

DATA + KNOWLEDGE

Prepare security datasets, embeddings, vector stores, retrieval and RAG pipelines.

→
03

BUILD SECURITY AI

Create security copilots, detection agents and AI-powered threat intelligence workflows.

→
04

PROTECT THE AI

Apply access control, input/output filtering, logging, audit trails and AI security practices.

→
05

MONITOR + GOVERN

Evaluate accuracy, monitor hallucinations and drift, and understand governance considerations.

✓
01 / INPUT Security Data
02 / INTELLIGENCE LLM + RAG
03 / AUTOMATION AI Agents
04 / DEFENSE Security Controls
05 / CONTROL Evaluation + Governance
GENAI SECURITY SYSTEM READY

Build Your Own
GenAI for Cybersecurity

Turn AI knowledge into real cybersecurity solutions. Learn to build security copilots, develop AI agents, create RAG systems, fine-tune models, automate threat intelligence workflows and secure GenAI deployments.

AI
11 Comprehensive Modules
~14H Total Learning
14H Course Content
~3.2H Doubt-Clearing Sessions
AI Hands-On Security
RAG Agents + Copilots

Ready to Build AI-Powered Security Solutions?

Go from AI and Python fundamentals to practical GenAI security applications across LLMs, datasets, fine-tuning, RAG, agents, threat intelligence, AI security and governance.

ENROLL NOW → VIEW MODULES
GENAI@SECURITY:~$ initialize learning_path --ai --cybersecurity