DeUMBRA began with a simple principle: create cutting-edge technology solutions to secure the world by leveraging smart algorithms to find patterns in suspicious behavior amongst massive volumes of data. DeUmbra brings over 15 years of research and development in network/graph analytics, machine learning, anomaly detection, natural language processing, social media analysis, and behavior analysis of structured data (e.g., SIGINT, transactional data). We have developed mature capabilities to identify entities (e.g., human individuals, networks, ships, usernames) of interest, track changes of the entities over time, identify likely adversarial entities/behaviors and anticipate their future activities, and identify entities of interest (e.g,. those vulnerable or prone to radicalization, recruiters, adversaries, etc.).