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Cyber Arena

AI for Cybersecurity and Bug Bounty Hunting Programme

Tech Centre Cyber Arena AI for Cybersecurity and Bug Bounty Hunting Programme

Programme Overview

This programme explores how artificial intelligence can strengthen cybersecurity operations and support more efficient bug bounty hunting. Participants will learn how to use AI-enabled tools to automate reconnaissance, analyse large datasets, identify vulnerabilities, and enhance penetration testing workflows through practical, hands-on exercises. Designed for security professionals and aspiring ethical hackers, the programme combines core concepts with applied techniques using widely recognised tools and real-world use cases.

Programme Benefits Programme Modules ADGM Academy ADGM Academy Certificate of Completion One day
Programme Benefits
Use AI tools for automated reconnaissance, vulnerability scanning, and exploit analysis
Learn basic machine learning concepts applied to cybersecurity use cases. Work with real-world examples and tools like ChatGPT, Burp Suite, and AI-based recon tools
Learn how to integrate AI in your ethical hacking workflow with practical demos.
Participants get one year access to learning videos and e-books.
Who is the Programme for?

This programme is designed for ethical hackers and bug bounty hunters, developers and QA testers, cybersecurity enthusiasts and pentesters.

Registration Form

Register Now
* Please note: This programme is available only to corporate groups. Individual signups are not eligible.
Learning Modules

Module 1: Foundations of AI in Cybersecurity
This Module introduces the course, outlining its core values, goals, and strategy. It sets the foundation for applying AI to cybersecurity and bug bounty hunting.

Module 2: Bug Bounty Hunting techniques
This Module explores effective techniques to discover bug bounty programmes. It includes unique methods using JSON data for programme hunting

Module 4: LLM Tools Overview
This Module introduces Claude.ai and Ollama. It walks through installation, setup, and key features relevant to cybersecurity applications.

Module 5: Prompt Engineering
This Module demonstrates how to craft effective prompts for AI tools. It focuses on optimising prompts for Ollama and API testing scenarios.

Module 6: Web AI Development
This Module explains MCP and deploying local web AI apps. It includes exposing services via Ngrok and integrating with subdomain enumeration tools.

Module 7: Tool based Reconnaissance
This Module introduces CLI tools like Subfinder. It demonstrates using them for subdomain discovery and technology fingerprinting.

Module 8: JavaScript Analysis
This Module teaches JavaScript analysis for bug hunting. It explores methods to extract useful data and endpoints from scripts.

Module 9: Web Exploitation
This Module covers real-world web exploitation techniques using AI. It includes training models, RAG modelling, and live attack demonstrations

Module 10: WAF and Core Concepts
This Module dives into Web Application Firewalls (WAFs) and bypass strategies. It includes Coreurset usage and hands-on exploitation.

Module 11: Introduction of Shell Globbing
This Module introduces shell globbing fundamentals. It includes a live demo of how it can be leveraged for exploitation.

Module 12: Techniques of Shell Globbing
This Module expands on advanced shell globbing techniques. It focuses on using patterns for targeted command execution.

Module 13: LLMs and Automation
This Module explains how to automate recon and exploitation tasks using LLMs. It showcases command generation and memory-based task chaining.

Module 14: HTTPX & Screenshots
This Module shows how to use HTTPX for vulnerability scanning. It includes capturing website screenshots for visual recon.

Module 15: VAPT Report Generation
This Module walks through automated report creation using Ollama. It covers step-by-step generation of professional VAPT documentation.

Module 16: Nuclei & YAML Automation
This Module covers creating and exploiting Nuclei templates. It also demonstrates converting curl requests into YAML with the help of LLMs.

Module 17: Postman Usage
This Module introduces Postman setup for API testing. It focuses on configuring both frontend and backend for efficient testing.

Module 18: API Vulnerability testing
This Module explains identifying vulnerable APIs using LLM-powered analysis. It targets endpoints and request bodies for exploitation.

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