What are the four steps in the OSINT process?

• A. Open source data, Open source information, Open source intelligence, Validated open source intelligence
• B. Data collection, analysis, reporting, archiving
• C. Data, information, intelligence, operational intelligence
• D. Raw data, cleaned data, analyzed data, published data

Answer: (A)

In OSINT work, information matures from raw material into decision-ready insight through a four-stage progression. Start with open source data—the raw material you collect from sources like websites, social media, forums, public records, and reports. Next, organize that data into open source information by adding context, structure, and meaning—tags, summaries, and connections that make it usable. Then analyze that information to produce open source intelligence, where you assess relevance, credibility, patterns, and implications for the question at hand. The final step is to validate that intelligence, confirming findings through corroboration across multiple sources, assessing confidence, and producing a vetted, ready-to-disseminate product.

Why the other options don’t fit as the OSINT four-step process: they describe generic data lifecycles or terminology that doesn’t reflect the OSINT emphasis on transforming data into validated, decision-ready intelligence.