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Open-source intelligence

Open-source intelligence is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Open-source intelligence rather than just read about it. In short: Open-source intelligence (OSINT) is the collection and analysis of data gathered from 'open sources' (overt sources and publicly available information) to produce intelligence. OSINT is primarily used in national security, law enforcement, and business intelligence and is used by analysts to answer classified, unclassified, or proprietary intelligence requirements.

Open-source intelligence — main illustration
Open-source intelligence — illustration

Key takeaways

  • Open-source intelligence belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Open-source intelligence to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Open-source intelligence from memory before moving on to harder problems.

Reference excerpt

Open-source intelligence (OSINT) is the collection and analysis of data gathered from 'open sources' (overt sources and publicly available information) to produce intelligence. OSINT is primarily used in national security, law enforcement, and business intelligence and is used by analysts to answer classified, unclassified, or proprietary intelligence requirements.

Definition OSINT involves the gathering of and analyzing of publicly accessible information to produce usable intelligence. The U.S. Department of Homeland Security defines OSINT as intelligence derived from publicly available information, collected and disseminated promptly to address specific intelligence needs. NATO describes OSINT as intelligence obtained from publicly available information and other unclassified data with limited public distribution or access. The European Union defines OSINT as the collecting and analyzing information from open sources to generate actionable intelligence, supporting areas like national security, law enforcement, and business intelligence. In the private sector, companies like IBM define OSINT as the process of gathering and analyzing publicly available information to assess threats, inform decisions, or answer specific questions. Similarly, cybersecurity firms such as CrowdStrike describe OSINT as the act of collecting and analyzing publicly available data for intelligence purposes.

Categories OSINT sources can be divided up into six different categories of information flow:

Media: print newspapers, magazines, radio, and television from across and between countries. Internet: online publications, blogs, discussion groups, citizen media (i.e. – cell phone videos, and user created content), YouTube, and other social media websites (i.e. – Facebook, Twitter, Instagram, etc.). This source also outpaces a variety of other sources due to its timeliness and ease of access. Public government data: public government reports, budgets, hearings, telephone directories, press conferences, websites, and speeches. Although this source comes from an official source they are publicly accessible and may be used openly and freely. Professional and academic publications: information acquired from journals, conferences, symposia, academic papers, dissertations, and theses. Commercial data: commercial imagery, financial and industrial assessments, and databases. Grey literature: technical reports, preprints, patents, working papers, business documents, unpublished works, and newsletters. OSINT is distinguished from research in that it applies the process of intelligence to create tailored knowledge supportive of a specific decision by a specific individual or group.

Collection methodologies Collecting open-source intelligence is achieved in a variety of different ways, such as:

Social media intelligence, which is acquired from viewing or observing a subject's online social profile activity. Search engine data mining or scraping. Public records checking. Information matching and verification from data broker services.

Risks for practitioners A main problem for practical OSINT is the volume of information it has to deal with information explosion. The amount of data being distributed publicly in the world increases at a rate that it becomes difficult to evaluate sources in intelligence analysis. Private individuals illegally collecting data for a foreign military or intelligence agency is considered espionage in most countries. Espionage that is not treason (e.g. betraying one's country of citizenship) has been a tool of statecraft since ancient times.

Disinformation/Misinformation risk The open and accessible nature of public sources makes OSINT data particularly vulnerable to disinformation and or misinformation. Extremist groups have been shown to use OSINT to spread to misinformation and spread their viewpoints. Governments and state actors have been documented intentionally disseminating disinformation through public channels to influence perceptions, confuse adversaries, or undermine trust in open-source findings. This can include planting false information in news outlets, social media, official statements, or manipulated geospatial data to mislead OSINT practitioners who rely on such sources.

See also Open Source Information System

References

WashTimes.com, Washington Times – CIA mines 'rich' content from blogs, 19 April 2006 GCN.com, Government Computer News – Intelligence units mine the benefits of public sources 20 March 2006 Fast, Barbara G. (October–December 2005). Military Intelligence Professional Bulletin. 31 (4) https://web.archive.org/web/20080310024429/http://findarticles.com/p/articles/mi_m0IBS/is_4_31/ai_n16419797. Archived from the original on March 10, 2008 – via FindArticles. {{cite journal}}: Missing or empty |title= (help) FAS.org Archived 2016-03-03 at the Wayback Machine, Congressional Testimony on OSINT and Homeland Security 21 June 2005 Thompson, Clive (2006-12-03). "Open-Source Spying". The New York Times. Retrieved 2018-05-29. "The Intelligence Network : I n t r o d u c t i o n". intellnet.org. 2008-05-09. Archived from the original on 2008-05-09. Retrieved 2018-05-29.

Further reading United Nations Office of the High Commissioner for Human Rights; UC Berkeley Human Rights Center (2022). Berkeley Protocol on Digital Open Source Investigations A Practical Guide on the Effective Use of Digital Open Source Information in Investigating Violations of International Criminal, Human Rights and Humanitarian Law (PDF). New York, Geneva: UN Office of the High Commissioner for Human Rights; Human Rights Center, UC Berkeley School of Law. ISBN 978-92-1-154233-2. OCLC 1334608062.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Open-source intelligence

Start with the simplest possible case. Write down what Open-source intelligence claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Open-source intelligence before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Open-source intelligence ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Open-source intelligence

In research
Open-source intelligence appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Open-source intelligence in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Open-source intelligence is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2005 establishments in the United States, 2005 introductions, American inventions, so understanding it makes those chapters shorter.
In everyday life
Look for Open-source intelligence outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Open-source intelligence in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Open-source intelligence means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Open-source intelligence out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Open-source intelligence in simple terms?

Open-source intelligence (OSINT) is the collection and analysis of data gathered from 'open sources' (overt sources and publicly available information) to produce intelligence. OSINT is primarily used in national security, law enforcement, and business intelligence and is used by analysts to answer…

Why does Open-source intelligence matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Open-source intelligence?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Open-source intelligence.

Tags

  • 2005 establishments in the United States
  • 2005 introductions
  • American inventions
  • Applied data mining
  • Collective intelligence
  • Intelligence gathering disciplines
  • Open-source intelligence

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