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Over the past two decades, considerable research has been carried out in the area of Social Network Analysis (SNA) and its application in analyzing covert networks. SNA is capable of revealing significant insights into the underlying patterns /dynamics of hidden networks and identification of crime patterns, which can be targeted by law enforcement and security agencies for disruption.
However, there is ambiguity on how exactly law enforcement agencies can leverage SNA in an operational environment, as each agency has their own areas of focus while dealing with criminal networks. To tackle this issue, BEL has developed Adversary Network Analysis Tool (ANANT), a comprehensive Artificial Intelligence (Al) enabled package, for the analysis of adversary networks, enabling effective and predictive modelling of attacks. The solution also offers collaborative Online Social Media Analytics to derive intelligence insights from real-time data.
Our solution offers Spatio-temporal Analysis to analyze multi-mode and multi relational adversary networks, which are today’s and future requirements of the State Police and other law enforcement agencies (LEA). ANANT also offers static and dynamic network analysis needs of most of the LEA s under one roof.
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