PERCEPTION-X2TM

Integrate and normalize data from any source into a unified operational picture. Thousands of integrations out of the box—physical sensors, digital feeds, human intelligence, and open-source data—all aligned spatially and temporally.

Identify meaningful patterns and indicators that reveal intent. Apply behavioral science principles to understand what actors are likely to do next based on observed patterns and historical context.

Forecast likely developments to allow preparation or prevention. Uses time-series analysis and scenario modeling with confidence intervals to anticipate threats before they materialize.

Uses unsupervised machine learning to learn what is 'normal' for your environment and detect deviations. Identifies threats no rule-based system would catch by understanding baseline behavior.

Finds relationships across disparate data sources, mapping connections between events, entities, and behaviors across time and space. Reveals hidden relationships that isolated data points cannot show.

Applies behavioral science principles to assess intent and capability. Understands what actors are likely to do next by analyzing behavioral indicators and motivational factors.

Uses time-series analysis and scenario modeling to forecast likely developments with confidence intervals. Prepares organizations for multiple futures and enables proactive decision-making.