Zignal’s sensor network scans billions of data points every day, detecting both physical and narrative threats in real time and providing organizations with the context they need to make mission-critical decisions.
Customizable automated alerting, precisely tailored to operational priorities and based on detailed criteria such as narrative peaks, key issues, and volume thresholds, ensure that threat awareness always occurs left of bang.
Zignal’s bi-directional REST API allows organizations the choice of running either as a fully self-contained system or in a ‘headless systems mode’ capable of tipping and cueing seamlessly with current deployments. Zignal affords end users full functionality while maintaining workflows for their operational watch floor.
Unique visualizations and powerful contextual analysis tools can be deployed in hundreds of fully customizable configurations and shared throughout an entire organization, providing a unified view of geographic, narrative, event, and economic data.
Mission-specific complex queries and smart filters can be built and easily adapted to changes in objectives, significantly reducing analyst TTV (Time-To-Value) for actionable intelligence by separating signal from noise.
Proprietary AI (Artificial Intelligence) and ML (Machine Learning) algorithms tag each data point with enriched information such as geography, author influence, and narrative identification to enable advanced visualizations and natural language processing.
The Zignal platform ingests and processes billions of data points each day in real time via full firehose APIs from the world’s most used global media platforms, giving visibility to more than 50 million unique sources in over 170 languages.