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Real time analysis and detection of criminal and terrorist content and users powered by Natural Language Processing, which structures unstructured social data to understand meaning

 

Early detection of anomalies that can point to attacks FAR in advance

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Analyses any social source, as well as other public sources or internal LEA sources

Deep Learning algorithms for highly accurate detection capabilities and context awareness

Multilingual analysis (All European languages plus Arabic)

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Operational and technical interoperability by integrating with LEA’s existing infrastructure and data sources

Detection of loosely-tied criminal and terrorist groups: analysis results are converted into social graphs to visualize relationships between entities, users, locations and more.