Use cases in Public Sector
Counterterrorism
Predicting and preventing terrorist attacks is a chief concern for intelligence and agencies, and predictive modeling based on historical data may help prevent them in the future.
See the use caseCybersecurity
Cybersecurity is emerging as one of the greatest threats of the future, and federal agencies are particularly vulnerable. Build, deploy and refresh models to predict incoming threats in real-time.
See the use caseFraud detection
Almost every government agency serving the nation's citizens suffers from fraud, costing approximately $80 billion a year. Data analysis and predictive modeling can combat this issue in minutes, not months.
See the use caseInsider threat
Threats can come from all sides, not just externally but from inside government agencies as well. These agencies need to proactively block any potential misuse, using machine learning to identify exploitation of inside information.
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