While ThreatMinder was designed for deep and dark web data access and analysis based on US Intelligence Agency security requirements, the platform is equally as effective scouring the internet for intelligence and insight that benefits multiple use cases within your organization. By applying dynamic business rules that are specific to query type, ThreatMinder efficiently analyizes data and presents findings in a simple format that is designed to be used by anyone. Organizations like yours use ThreatMinder in categories like:
ThreatMinder helps enterprise customers add depth and breadth to their corporate security strategy by simplifying access to data streams and automated analysis. For companies with mature SOC deployments, ThreatMinder is complementary to internal analyst generated reporting, often providing a leading indicator of sentiment change in risk categories that can trigger an internal follow up. Whether used as a primary platform or in combination with existing situational awareness systems, ThreatMinder can help provide the broadest possible threat discovery and evaluation in categories like:
ThreatMinder helps HR and People Organizations make informed decisions during the prehire, employment and post employment periods by automating insight to save time, money and improve accuracy. Every day ThreatMinder is used by global enterprises to better understand important people choices and provde an additional objective layer of information in areas like:
ThreatMinder helps legal departments and law firms automate intelligence and investigative process, saving time and money while increasing the scope of coverage and compliance. Quality intelligence and real-time monitoring make key legal functions like background checks, event research and employee investigations faster and more accurate.
ThreatMinder can apply new business rules to data evaluation and improve decision-making insight across an entire spectrum of use cases. Financial risk decisions are better informed with more complete customer or partner data, corporate and employee risk can be better understood with context and historic analysis. Some specific use cases include: