The rising threat of terrorist recruitment and indoctrination poses a serious concern, primarily for national security. 

  • Rising threat of extremist recruitment and indoctrination.
  • Utilization of social media platforms for recruiting and indoctrinating foreign fighters into terrorist groups.
  • Investigations require analysis of vast amounts of data.

It is plausible to identify behavioural patterns that could serve as indicators of indoctrination. To enhance this process, the integration of big data analytics and AI-based techniques can be invaluable.

PRESERVE aims to detect extremist activity within social media, using data extracted from social media, fora, webpages, telegram, or the deep web. By using NLP models and ontologies, PRESERVE will analyse publications and behaviour patterns to identify communities at heightened risk and detect recruitment activities.

The PRESERVE platform will provide advanced dashboards to enhance the risk analysis and decision-making process at LEAs, being able to analyse the potential risk of radicalization of certain users or communities and the geographical prevalence of the risk using heat maps.

Advanced AI-driven technologies employed include NLP (Natural Language Processing) & NLU (Natural Language Understanding), UEBA, Graph Models, and Computer Vision.