Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can help investigators combat: insurance fraud, credit card fraud, VAT fraud.
Linkurious Enterprise is compatible with Azure Cosmos DB and offers investigation teams a turnkey solution to detect and investigate threats hidden in graph data. In this post, we explain how Linkurious Enterprise connects to Cosmos DB graph database.
Temporal data can provide critical insights for an investigation, but only if you have the appropriate tool to leverage it. In this article, we show you how time filtering works in Linkurious Enterprise and three methods to use temporal filters to find insights.
In this Meet the team series we introduce the different members of Linkurious’ team. This time, we learn more about Huong Tran who has been working with us as a Business Developer for over a year now. Before joining Linkurious, Huong worked as a freelance consultant and as a sales representative in the technology and media industries […]
After months of preparation, Linkurious Enterprise 2.6 is now ready to ship! This beta version brings many novelties including the much-requested time-filtering capability, allowing for temporal graph analysis, as well as consecutive undo-redo actions and custom icons import. We redesigned the search and the workspace to improve the data investigation experience. This release also improves performances […]
Our team is excited to announce that we are officially adding support for Azure Cosmos DB. You can now connect the Linkurious Enterprise graph intelligence platform to Microsoft’s globally distributed, multi-model database. This solution brings new ways for data-driven teams to explore, visualize and find insights in rich, connected data.