As an analyst, you play a crucial role in solving crimes. Harnessing the power of graphs and the many features of GraphAware Hume can help stop criminals and bring justice to their victims. With the increasing advancements in technology, it is now easier than ever to track suspects and gather evidence that can aid in an investigation. One of the most powerful tools available to you is the capability of performing geospatial and temporal analysis.
Networks are all around us, both locally and globally, and are becoming increasingly complex. The prevalence of networks has led to the widespread use of network analysis tools. While network analysis in criminal intelligence is still a novel concept, there has been a growing interest in recent years as law enforcement agencies adopt cutting-edge graph-based tools to solve crimes.Graphs are an underutilised intelligence toolGraphs can provide valuable insights for intelligence analysts. They allow for a visual representation of relationships between individuals and groups, the detection of criminal patterns, and early identification of potential threats.
London, January 25th - GraphAware Hume announces partnership with the Western Australia Police Force to deliver criminal graph analytics.
Maritime piracy is one of the most serious threats to international trade and security. To combat piracy and ensure the safety of vessels, analysts and operators must have a thorough understanding of the real-time situation. Situational awareness (SA) is an important concept for those tasked with combating maritime piracy. It refers to the ability to understand the environment around a vessel and its crew, as well as the ability to recognize and respond to potential threats. This is an especially important skill for analysts looking to identify pirate activity and take action against it.
In the previous blog post, ”The challenges of intelligence analysis and how graphs solve them”, we saw how graphs truly streamline and enhance the workflow for intelligence teams. The next step in the process is setting up your graph.
Ranging across all the varied fields of intelligence, there is an ever-advancing process to enhance and optimise data analysis. For such mission-critical events, graph technology has emerged as an exceptional solution for all stages of the intelligence lifecycle, ensuring the absolute fastest and best results.A graph analytics solution like Hume provides a simple-to-use interface that allows intelligence analysts to search, visualise and analyse intelligence graphs. The most common intelligence analysis questions are graph-based. For instance, “How are person X and person Y connected?” or “Who are the most influential individuals within a criminal organisation?”.
In the series Graphs in Law Enforcement, we discussed data sources and modelling, data quality and credibility with source ratings, and we spoke about fusing entities.
In the first part of the series Graphs in Law Enforcement, Data sources and modelling, we discussed graphs in law enforcement investigations, their data sources, data provenance, INTs and how to model sources in graphs. In part 2, Data quality and credibility, we covered source ratings (source reliability & information credibility) and their importance in investigation graphs for law enforcement.
In this 4-part blog series “Graphs in Law Enforcement”, we will examine Data Sources in Law Enforcement Graphs, a talk by Luanne Misquitta, our VP of Engineering, at GraphConnect 2022.
Criminal investigations are driven by finding the connections and hidden links between wide-ranging sources of data to ultimately disrupt criminal activity. Graph solutions are a powerful tool for law enforcement to optimise their interaction with data from these varied sources.
Organisations do not suffer from a lack of data or qualified people who analyse it and draw conclusions but rather from the size of relevant data sets and the limited amount of time skilled people can spend on exploration and analysis. In this blog post we show how Hume Alerts can be used to solve this issue.