Artificial intelligence is rapidly transforming open-source intelligence (OSINT), providing investigators with unprecedented opportunities to accelerate research, organize information, identify patterns, and support analytical decision-making. However, without a solid understanding of its capabilities and limitations, AI can just as easily introduce analytical errors, fabricated information, bias, and false confidence into investigations.
AI for OSINT, Beyond the Prompt: AI Tradecraft for OSINT Professionals is an intensive two-day instructor-led course designed specifically for investigators, intelligence professionals, analysts, and researchers who want to integrate artificial intelligence into their investigative workflows while maintaining the critical thinking, verification, and professional tradecraft essential to sound intelligence.
Through a combination of instructor-led presentations, live demonstrations, guided discussions, and practical hands-on exercises, participants will explore how leading AI platforms—including ChatGPT, Claude, Gemini, Perplexity, NotebookLM, Copilot, and other emerging tools—can be used to support every stage of the OSINT lifecycle. The course emphasizes structured prompting, investigative workflows, verification techniques, and responsible AI adoption while addressing emerging challenges such as hallucinations, synthetic media, deepfakes, misinformation, and analytical bias.
Rather than viewing AI as a replacement for investigators, this course demonstrates how it can serve as a powerful force multiplier when combined with disciplined investigative methodology, sound judgment, and established intelligence tradecraft. Participants will leave with practical techniques, repeatable workflows, and a structured framework for using AI confidently, responsibly, and effectively in real-world investigations.
The AI Landscape for Investigators
Understand how artificial intelligence is changing investigative work, explore common misconceptions, and establish realistic expectations for AI as an investigative assistant rather than an analytical replacement.
Understanding Modern AI
Develop a practical understanding of large language models (LLMs), reasoning models, context windows, hallucinations, confidence, memory, and why AI systems sometimes produce convincing—but incorrect—information.
AI Platforms for Investigators
Compare the capabilities, strengths, limitations, privacy considerations, and investigative applications of today’s leading AI platforms, including ChatGPT, Claude, Gemini, Perplexity, NotebookLM, Copilot, Grok, and other emerging tools.
Prompt Engineering for Investigators
Move beyond simple prompting by learning structured prompting techniques that support investigative planning, analytical reasoning, hypothesis development, assumption testing, confidence assessment, and report development.
AI Across the OSINT Lifecycle
Explore practical applications of AI during collection planning, multilingual research, entity extraction, relationship mapping, timeline development, intelligence analysis, reporting, and investigative documentation while maintaining professional tradecraft.
Practical AI Investigative Workflows
Apply AI to realistic investigative scenarios, including due diligence, social media investigations, corporate intelligence, financial crime, missing persons, and other common investigative workflows using repeatable methodologies.
Verification, Validation & Investigative Tradecraft
Learn structured techniques for validating AI-generated content through cross-source verification, confidence assessment, source evaluation, documentation, auditability, and investigative reporting.
Synthetic Media & Deepfakes
Examine the growing impact of AI-generated images, video, audio, and fabricated documents on modern investigations, and learn practical methods for assessing, validating, and reporting synthetic media responsibly.
Risks, Ethics & Governance
Explore hallucinations, analytical bias, overreliance, privacy considerations, legal issues, documentation requirements, and organizational governance strategies that support responsible AI adoption.
Capstone AI-Assisted Investigation
Apply the concepts learned throughout the course during a realistic, end-to-end investigative scenario that integrates AI-assisted planning, collection, analysis, verification, reporting, and presentation while reinforcing professional investigative tradecraft.
Throughout the course, participants will:
This two-day course provides participants with a practical, tradecraft-focused framework for integrating artificial intelligence into investigations while preserving the analytical rigor, critical thinking, and professional accountability that remain essential to high-quality OSINT and intelligence work.
Dates
Event Location
Live Remote Delivery | 10:00 AM-6:00 PM ET | 8:00 AM-4:00 PM PT | 3:00 PM-11:00 PM UTC