Data agnostic, automated search across third party, internal, and open sources datasets in near real time concurrently.
Thorough investigations to detect fraud require the evaluation of multiple disparate data sources. Our solution offers a single source of intelligence, aggregating all your data and saving up to 85% of your analysts’ time.
Increasing fraud activity
Across the public and private sectors, fraud has become the No.1 source of offending in the UK.
Need for more complex investigations
With fraud and cyber crime becoming ever more sophisticated, investigations require more diverse datasets and expertise in uncovering hidden links across that data.
Manual processes are unsustainable
Manually searching and re-searching multiple data sources takes much longer and has greater potential for human error.
Our platform, Scout® automates aggregation and reporting for fraud detection across all your chosen data sources as one, optimising operational efficiency and enabling you to more stringently flag risk, investigate more cases with the same resources and at a lower cost.
Save up to 85% of your team’s time
True single intelligence environment – Along with Synalogik datasets, internal data and open-source intelligence, Scout®’s third party integrations include Companies House, CIFAS, Creditsafe, DVLA, DVSA, Equifax, Land Registry, LexisNexis and TransUnion datasets.
Carry out investigations faster whilst more thoroughly investigating the data available to your team.
Synalogik datasets – Synalogik datasets include standard, enhanced and premium personal identifiable information (PII); global commercial data; PEPs and Sanctions; credit application; disposable phone and email; credit address links; CCJ and bankruptcy; land registry; and compromise checker, among others.
Search using pre configured workflows that collate and analyse fraud risk associated with people, companies, email addresses, phone numbers and even vehicles across your data sources, along with visualisation of links to make it much easier to discover hidden connections and fraudulent activity.
Visualise merged data sets using our map view, node view, spreadsheet output or report view.
Standardised, concise reports with the results of all data sources referenced in an auditable and compliant manner.
Reduce human error rates by letting our technology automatically identify alias names, dates of birth, connected addresses, linked financial associates and much more.
The generation of reports in less than sixty seconds allows you to make decisions more swiftly and improve your customer experience.
Scout® overcomes the problem of returning too many results from open-source searches with tools to create highly targeted automated searches around keywords, proximity, time-frame and document type.
Our sophisticated cleansing technology reduces false positives by allowing you to evaluate potential targets from multiple data sources by prioritising on name spelling, date of birth or even location.
A Government investigation agency needed to identify companies linked to an individual who was deliberately changing their name to avoid being linked to a large-scale fraud.
In this blog, we present the statistics behind the scale of the problem, where fraud activity increased in 2021, and how technology can help overcome many of the challenges around fraud detection.