SourceHow state and local agencies can get ahead of fraud starting with the data they already have
Reducing the hundreds of billions lost annually to fraud ensures public funds remain available for citizens who rely on these services.
- Enables ingestion and normalization of disparate data sources across state and local agencies
- Leverages conversational Elastic Agent Builder and semantic search for cross-program fraud investigations
- Applies custom detection rules and machine learning to flag behavioral anomalies