OSINT (Open Source Intelligence) Advanced Training in San Francisco, USA

This course provides participants with advanced-level knowledge and practical skills in Open-Source Intelligence (OSINT). It covers environment setup, identity protection, ethical data collection, transformation of information, corporate and individual targeting, real-time monitoring, AI-assisted analysis, and financial investigations. The training emphasizes ethical, legal, and free/open-source approaches to OSINT practices.

Foundations & Environment Setup

Module 1: Introduction

• Overview of OSINT Principles and Approaches
• Understanding the Intelligence Cycle
• Ethical Considerations in OSINT

Module 2: Setting Up Your Environment

• Configuring machine and ensuring stable network connection
• Using virtualized and isolated workspaces
• Browser hardening and privacy practices

Module 3: Installing and Managing Tools

• Overview of OSINT toolkits
• Installation and configuration process
• Best practices for tool management and updates

Module 4: Protecting Your Identity

• Operational security principles
• Obfuscating online activities
• Privacy, proxies, and anonymity practices

Data Collection & Monitoring

Module 5: Ethical Data Collection and Transformation

• Accessing legitimate sources of data
• Secure and safe dark web exploration (non-interactive)
• Ethical data mining practices
• Converting raw data into usable intelligence

Module 6: Ethical Data Extraction

• Responsible web content analysis
• Scraping practices with legal compliance
• Approaches to analyzing and interpreting large datasets

Module 7: Monitoring Events in Real-Time

• Observing and analyzing live data sources
• Platforms and channels for real-time monitoring
• Building alert and automation workflows

Targeting, AI & Financial Investigations

Module 8: Targeting Corporate Bodies

• Collecting corporate information from public sources
• Mapping organizational identities and structures
• Identifying digital infrastructure and hierarchy

Module 9: Targeting Individuals

• Collecting information on individuals from open sources
• Profiling methods and attribution techniques
• Responsible handling of personal information

Module 10: Assessing Consequential Actors

• Identifying potential threats to government, economy, and safety
• Basics of criminal profiling within OSINT investigations

Module 11: Practical Application of AI in OSINT

• Role of predictive analysis in investigations
• Applying AI to text and visual data
• Limitations, risks, and ethical considerations in AI-driven OSINT

Module 12: OSINT for Financial Investigations

• Tracing financial flows using open data sources
• Understanding credit card fraud and black-market signals
• Tracking cryptocurrency transactions on public ledgers

Module 13: Summary & Next Steps

• Recap of methods, techniques, and ethical practices
• Recommended continuous learning paths
• Building personal OSINT workflows