Graph-based intelligence analysis
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Intelligence analysts are increasingly challenged by the volume and complexity of data in the age of big data, necessitating new tools and methods for effective analysis. Graph technology, including visualization and analysis tools, enables analysts to access, store, and explore large datasets more efficiently, uncovering valuable insights that traditional methods may miss. The use of graph databases enhances the detection of patterns and relationships in intelligence data, improving overall situational awareness and threat identification.
Graph-based intelligence analysis
- 1. Graph-based intelligence analysis Follow us on Twitter @linkurious
- 2. As the amount of data collected increases, intelligence analysts face new challenges in its processing & analysis.
- 3. The possibilities of collection have widened in the age of big data and new technology. Multiple OSINT information sources are available today.
- 4. Those changes come at a cost for analysts: Additional processing efforts needed. Sizable data collections slowing down investigations. Siloed and scattered data leading to blindspots.
- 5. To improve the traditional intelligence cycle, intelligence producers are turning to new tools and methods.
- 6. Intelligence analysts use graph technology to access relevant data in large, heterogeneous, collections and find high-value information.
- 7. The three layers of graph technology Graph visualization tools Graph analysis framework Graph databases Visualize data Analyze data Store data
- 8. Graph databases can store large volumes of connected data. Some popular graph storage vendors.
- 9. They aggregate multi-dimensional data into a single, comprehensive data model that can scale up to billions of nodes and edges. Example of data modeled as a graph.
- 10. Intelligence analysts can rely on graph visualization and analysis tools to explore data stored in graph databases. Raw data Graph visualization and analysis tools Graph databases
- 11. Using graph visualization tools has several advantages: Non-tech savvy users can investigate data. Analysts can identify insights faster with pattern recognition. Chances to discover insights are higher than in tabular data.
- 12. Linkurious Enterprise allows intelligence to uncover insights hidden in complex datasets thanks to the visualization and analysis of graph data.
- 13. Visualizing the Global Terrorism Database in Linkurious Enterprise - Examples of graph visualization and investigations
- 14. Modeling the OSINT data as a graph of nodes and edges
- 15. Visualization of French terrorist events (2013 - 2017), locations and authors.
- 16. (1) Terrorist activities recorded in the Ile de France province.
- 17. (2) Terrorist activities perpetrated by Salafi jihadist groups in France.
- 18. (3) Terrorist activities recorded in Corsica.
- 19. (4) Terrorist activities recorded in southern France regions.
- 20. Geo-visualization of the 1731 events reported in July 2014.
- 21. Visualization of the 10 deadliest attacks, their connections to location, authors, and targets.
- 22. Graph technology is an asset in the processing, storage, and analysis of the complex data collected by intelligence analysts today. It allows highlighting connections in the data to better understand and analyze complex situations and to identify threats.
- 23. Request a free 30 days trial Follow us on Twitter @linkurious