Call records are a great source of information on real-life networks, but finding insights from intricate datasets can be hard. In this blog post, we show how to use graph technology to analyze call records and identify potential criminals. We wrote this article with the assistance of Ashley Englefield, a Detective in California and an […]
Data lineage is about tracking the flow of information. It is necessary to guarantee the quality, usability and security of your data. For large organizations, it is also a key conformity requirement. Unfortunately, many organizations are missing this ability to connect the data together because of regulatory constraints, complex technology and scattered data. Webinar: […]
Linkurious Enterprise is a turnkey solution for investigation teams who need to detect and investigate threats hidden in graph data. In this post, we explain how to connect the platform to DSE graph database and how to visualize DSE Graph data. The rise of NoSQL and multi-model databases NoSQL database management systems emerged ten years ago as an answer […]
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 article, we introduce the Guest mode: a feature of Linkurious Enterprise to share your graph data with occasional users through a simplified interface. You will learn what you can do with it, how to configure it and how to give people access.