We first use open-source intelligence techniques to discover actor groups online who pose a threat to our customers. Then we map their relationships and content across the surface, deep and dark web into our proprietary Risk Intelligence Graph.
Discovering the risk signals
embedded within digital chatter
A real-time approach to risk intelligence
Our Risk Intelligence Graph discovers the risk signals embedded within digital chatter. By continuously classifying them, we are then able to predict their severity and prevent their spread and impact. The Graph then learns from these connections to become increasingly effective at predicting complex risks in real time, including reputational damage, security threats and online harms.
Our AI technology, which has been trained over 17 years on over one trillion items of risk-tagged digital chatter, takes this unstructured data and classifies it into specific entities, risk types and unknown unknowns, or never-before-seen tradecraft.
We then overlay a series of custom lenses to predict the future severity of an emerging risk. These proprietary lenses collate disparate risk signals across the Risk Intelligence Graph to find the valuable, hidden connections that indicate a risk needs immediate attention.
Crisp can also successfully prevent or mitigate the impact of an emerging issue with a suite of prevention capabilities.
Crisp’s AI technology learns by continually tracking the evolution of risks and training new models to ensure that the detection of risks is always efficient and effective.
Why customers choose us
- Fast, actionable risk intelligence to protect their brand, people and assets
- Comprehensive protection from reputational damage, security threats and online harms
- Contextual reporting on actor groups impacting their business
- Enterprise-level managed services delivered across their organization
- Peace of mind, 24/7/365
Crisp protects over $6.5 trillion in combined market capitalization for
over 1,000 brands. Here are some of