Leveraging Generative AI to Enhance OSINT
Learn how to use artificial intelligence to your advantage when gathering open-source intelligence.
Maximise the impact of your OSINT using AI
Identify where and how generative AI is most effective in the intelligence cycle.
Uncover the strengths and limitations of generative AI in OSINT.
Explore how threat actors might harness AI and how you can spot it.
When prompted well, AI can be a powerful companion in your OSINT efforts. It's critical that modern intelligence professionals understand AI's strengths and limitations.
Learn how it can help you break down complex problems, support investigative workflows, generate ideas and collect data for you.
This course provides participants with a broad understanding of why intelligence professionals might use generative AI and how it works, then delves into its practical applications.
Harness generative AI as an open-source assistant
Key learning objectives
Understand where in the intelligence cycle generative AI can be used.
Explore the basics of AI, including the underlying technology and the current generative AI landscape.
Learn practical techniques including prompting methods, how to collect data and more.
Evaluate the limitations of generative AI in assisting intelligence production.
Use generative AI to create OSINT workflows and enhance understanding of the online world.
Understand how to navigate legal, ethical and operational challenges of using generative AI for OSINT.
Who this course is for
This course is relevant across intelligence, investigative and analytical roles, including:
Analysts who are responsible for collecting and analysing information to support decision making processes.
Investigators in law enforcement, legal and corporate environments who use OSINT to gather information on suspects, witnesses and other parties.
Risk management professionals in finance, insurance and security who require insightful intelligence about cyber attacks or natural disasters.
Journalists who use open-source information to verify the accuracy of sources and information.
Researchers who gather data and information to support their studies.
Students who intend to work in intelligence-related roles, AI policy, academia or policy.
Humanitarian professionals in non-profit organisations or private companies who work on human rights, environmental protection or relief, who require intelligence to make better-informed decisions and understand the context in which they operate.