OSINT in Action: Data Discovery & Analysis with AI
Track: Technical Focus
📅 Date: 20 – 21 November 2025
📍 Venue: Boardroom, Level 2, Holiday Inn Express Kuala Lumpur City Centre, 84 Jalan Raja Chulan, 50200 Kuala Lumpur
🗺️ Google Map: https://maps.app.goo.gl/Ujb9FSsWj2XGECnGA
⏰ Registration: 9.00AM. Training Time: 9:30 AM – 5:00 PM
Program Overview
This intensive 2-day workshop introduces participants to the principles and practical applications of Open Source Intelligence (OSINT) with a focus on the Malaysian digital landscape. Attendees will learn to systematically collect publicly available information and perform structured analysis using modern tools for link and network mapping.
Learning Objective
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Understand the fundamentals and ethics of OSINT.
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Explore data collection strategies tailored to Malaysian digital assets.
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Learn techniques to gather, structure, and enrich data from multiple sources.
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Leverage JupyterLab, LLMs, and Python to build automated OSINT workflows—from data extraction and interpretation to dynamic link and network analysis.
Knowledge Prerequisites
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Basic familiarity with computers and web tools
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Some Python knowledge is helpful (but not mandatory; templates provided)
Hardware Requirements
Laptop with an internet connection
Trainers
Muhammad Luqman Azzaki
Luqman is an Solution Architect with expertise in digital footprinting, open-source data gathering, and intelligence interpretation. With years of hands-on experience, he specializes in designing and implementing full-scale OSINT systems. He shares his knowledge through training and writing, helping others apply OSINT effectively in real-world use cases.
Muhammad Syarafuddin Md Saleh
Syarafuddin is an OSINT (Open-Source Intelligence) specialist with experience in using public data to support digital investigations and improve cybersecurity. He has helped organizations strengthen their information security using open-source tools and methods. Syarafuddin is also passionate about sharing knowledge on the ethical use of OSINT and has spoken at events like Nanosec Play 2021. He holds a certification as a Social Media Intelligence Expert from McAfee.
Ammar Aryani Bin Abdul Rani
Ammar is an OSINT (Open-Source Intelligence) Data Analyst specializing in transforming publicly available data into actionable insights. He leverages machine learning, SEO techniques, and data analysis to support investigations, cybersecurity, and informed decision-making. He also applies geospatial intelligence to uncover location-based patterns and connections. Ammar is a certified Data Science Specialist.
LinkedIn: https://www.linkedin.com/in/ammar-aryani/
Blog: https://medium.com/@CyberRaya
Github: https://github.com/Tohka-aryani
Training Agenda
- Introduction to OSINT & Legal Boundaries in Malaysia
- Frameworks: Intelligence Lifecycle & Data Categories
- Tools & Techniques:
- Google Dorks
- People Search (Email, Phone Numbers, Relationship)
- Corporate Lookups (SSM, Domain, Infrastructure)
- Social Media Intelligence (Hashtags, Interactions, API)
- Hands-on Exercises: Building your first OSINT profile
- Introduction to JupyterLab Workflows
- Using LLMs for:
- Text Analytics
- Sentiment Analysis
- Zero Shot Classification
- Text Summarization
- Image-to-Text
- Link Analysis with Python:
- Creating and exploring network graphs with Python
- Case Study: Mapping an Influence or Fraud Network
- Final Challenge: End-to-End OSINT Investigation