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
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)
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.