Demonstrative Application:
Identifying locations of criminal elements
Challenge:
The threats posed by growing well-organized criminal elements, especially in metropolitan areas, pose risks to citizens and can, based on their objectives, also adversely impact infrastructure. To optimally counteract the threats, a reliable way to rapidly and effectively identify trends in tactics, techniques and procedures (TTP) and predict the location of criminal safe houses is needed.
Solution:
This simulation used real-world data from a major metropolitan city in the United States. Using Signature Analyst, SPADAC analysts were able to quickly analyze hundreds of data layers including physical terrain, cultural, economic, human and social networking elements, and identified key factors that led criminals to select thier safe houses. Using a few previously identified criminal safe houses as the basis for analysis, SPADAC analysts predicted and subsequently validated the existence of other safe houses in the area and monitored changes in TTP of the adversary.
By applying our analytical expertise based on proven methodologies and technologies, we determined where the criminals operated, shopped and socialized, along with other causal factors that enabled us to predict and subsequently validate where others may be hiding.
As relevant information is made available or updated, the model tunes accordingly to deliver actionable information for confident decisions on how to deploy scarce resources and fortify the city against such criminal threats.