There are several types of OSINT data collection
In order to gain valuable insights, open-source intelligence (OSINT) gathers publicly available data. There are several methods that can be classified based on the type and source of the data used:
Content derived from institutions
- Reports from the media, reports from government agencies, and publications from universities
- An organized, reliable, and verified source of information
- The perspective and events of the official government are provided
Creating content on an individual basis
- A blog post, a forum post, a social media post
- Views, experiences, and opinions from the author's perspective
- Social trends and public sentiment can be understood through this data
The hybrid content model
- Content from institutions and individuals combined
- A news article incorporating quotes from social media is an example
- Perspectives from both official and personal sources
The historical content
- Sources such as historical documents, archival records, and secondary sources
- Analyzes past trends and events to provide context
- Aids in understanding the processes by which organizations, individuals, and geopolitics evolve
Techniques for collecting OSINT
Searching and analyzing the web:
- Searching for relevant content on websites, social media, and documents through search engines
Monitoring social media:
- Twitter, Facebook, Instagram content tracking and analysis
- Online communities, brand reputation, and public sentiment are analyzed
Aggregation of news:
- Using a variety of sources to collect and synthesize news articles
- Current events and their impact are presented in a comprehensive manner
- Analyzing geospatial information:
- Mapping and analyzing location, movement pattern, and relationship data with GIS
Analyzing financial information:
- Obtaining financial information from financial statements, market data, etc.
- Performs financial assessments and monitors the activities of organizations
Collection of human sources:
- Interviewing, observing, or interacting with individuals who have access to nonpublic information to obtain information
- Analyzing the legal and regulatory environment:
- Documents and reports related to law, regulations, and compliance
- Establishes a risk assessment, liability analysis, and opportunity assessment for organizations
Using data mining:
- Analyzing large datasets for patterns, trends, and insights using machine learning and statistics
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