NetMap

WizRule, data auditing, automatically reveals patterns in the data under analysis and points at cases deviating from these patterns as suspected errors or frauds. A suspected fraud or error is defined as a case that deviates from valid patterns. WizRule is used by auditors, fraud examiners, forensic investigators, data-quality managers. One of their main tasks is revealing fraudulent cases and errors in data. WizRule can help in carrying out this task. WizRule is a data-auditing tool based on data mining technology. It performs an analysis of the data revealing inconsistencies and "strange" cases to be investigated. WizRule works automatically – the user just selects the data and WizRule does the analysis. WizRule checks all the relationships among the values within the various fields and reports unexpected and unlikely cases. WizRule reveals fraudulent cases missed by the standard auditing tools.

Stay ahead of evolving threats with advanced fraud detection technology, while reducing costs and increasing efficiency. LexisNexis FraudPoint solutions detect fraudulent applications by using advanced analytics that leverage comprehensive and dynamic identity and digital intelligence. Data is updated continuously, giving you the opportunity to get ahead of fraudsters. FraudPoint solutions allow organizations to identify fraud incidents before the application is booked, detecting synthetic identity and other types of fraud resulting in significantly reduced fraud incidents and losses. FraudPoint minimizes administrative costs associated with inefficient and unnecessary investigation to improve your bottom line. With access to some of the most authoritative fraud prevention data and analytics including digital insights, the FraudPoint solution is an analytic suite that delivers critical, relevant insight to substantially improve the ability to identify many types of fraud.