The blog

Tag Publications: neo4j

Reinforcing AML analysis systems with graph technologies

Fighting financial crime is a daily battle worldwide. Organizations must deploy intelligent systems to prevent and detect wrongdoings, such as anti-money laundering (AML) control frameworks. We’ll see in this blog post how graph technologies can reinforce these systems. Using graph technologies to fight financial crime In today’s complex economy, law enforcement and financial organizations fight against a […]

Using graphs visualization for network intelligence analysis

The identification and monitoring of terrorist or criminal networks are crucial activities to detect threats. But with bigger datasets, new data types and fast-paced environment, it has become a challenge to conduct network intelligence analysis. In this article, we show how graph visualizations can help network intelligence analysis activities by identifying and racking suspicious individuals and their connections.

Linkurious v1.4: streamline pattern detection with the Cypher-powered alert dashboard

The new major release of our graph visualization software Linkurious is now available! It provides a unique alert dashboard for teams of analysts, continuous indexing capabilities to Neo4j, support for AllegroGraph, and single sign-on (SSO) with Azure Active Directory. Linkurious v1.4.2 is available in two flavors: Starter and Enterprise. Releases always apply to both variants. New […]

Linkurious sponsors GraphConnect 2016

Linkurious is proud to sponsor GraphConnect 2016, taking place on October 13th-14th in San Francisco. Join us to discover how graphs are changing the world and how Linkurious can help you find hidden insights in your data. This year, you will hear sessions from some Linkurious’ clients: Mar Cabra from the International Consortium of Investigative Journalists (ICIJ) will […]

Manage software dependencies with graph visualization

Discover how Pathfinder helps developers analyse software dependencies using the linkurious.js open-source JS graph visualization library. In this article Michele Sacchetti, Head of Configuration Management and DevOps team at Facilitylive, explains why he built Pathfinder and chose linkurious.js. Introducing Pathfinder Almost every software program has third parties dependencies. As a software project grows with new features, software dependencies grow as […]

Graph data visualisation for cyber-security threats analysis

 In this blog post, we will offer an overview on how to deal with Security information and event management/log management (SIEM/LM) data overflow. Let’s see how Linkurious’ advanced graph visualisation solution helps easily identify and investigate cyber-security threats. Switching to a data lake architecture is often a required first step for analysts who wish to use graph […]