For decades, the intelligence community has been collecting and analyzing information to produce timely and actionable insights for intelligence consumers. But as the amount of information collected increases, analysts are facing new challenges in terms of data processing and analysis. In this presentation, we explore the possibilities that graph technology is offering for 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