SAS for Border Management uses advanced analytics to determine which travelers and cargoes are most likely to be illegal or high risk, as well as which should most likely be unimpeded, based on all available and relevant information sources and social network linkages.
With big data management capabilities, make quick decisions about whether to stop travelers or freight. Facilitate legitimate travel by focusing attention on those travelers identified as potentially high risk, thus reducing disruption and delays to the majority of travelers.
Accurately assess traveler risk.
Identify people who pose a risk based on an objective analysis of all available data.
View data from multiple sources.
Improve success in targeting illegal or high-risk travelers and freight by incorporating additional intelligence from other sources. Process various watch lists that serve to identify high-risk travelers who should be questioned, detained or treated differently regardless of their overall risk score. Identify which shipments are most likely to contain illegal or improperly documented cargo through effective sharing of information and analysis of all available data.
Forecast volumes and optimize resources.
Concentrate scarce resources on the minority of travelers and freight movements that pose a genuine risk. Identify which people and cargoes to target and investigate on the strength of fact-based analysis. Accurately forecast the flow of different types of travelers and freight – including calculations of risk – to plan, allocate resources and alleviate possible bottlenecks.
Detect customs evasion.
Focus customs, excise and border management operations on imports of illegal goods and commodities that pose a risk to health or security (such as narcotics or weapons); or on improperly documented imports that represent a significant loss of import duty. Risk-screening technology develops the necessary analytical models, enables more specific and accurate sorting of illegal and improperly documented cargo, and helps drive up overall detection rates.
- Advanced analytics
- Risk scoring
- Watch-list processing
- Network analysis
- Intelligence management
- Data management