GraphAware Blog - Law Enforcement

We had an illuminating time at the ISS Europe conference in Prague 2024. We connected with numerous new prospects from various countries, all recognising the necessity of graph-based criminal analysis. The feedback was clear: while this approach was a novelty two years ago, it has now become a hot topic, with GraphAware Hume leading the charge thanks to our established references in law enforcement and intelligence.

Welcome back to our blog series on unlocking the complex world of ultimate beneficial ownership (UBO) investigations using the power of graph technology. We’ll delve into the various types of investigations that can be conducted with the aid of graph analysis, showcasing the agility, speed, and capability facilitated by tools like GraphAware Hume, our graph analytics platform.

“When a child goes missing, every minute counts. With Hume, we don’t have to start from scratch every time an event like this is reported. Our data is available and ready to be analysed. We can act fast and save lives.Data Science Lead - Government agency”

In today’s intricate financial landscape, uncovering Ultimate Beneficial Ownership (UBO) is more crucial than ever. UBO analysis involves diving into the intricate web of ownership structures, often extending through multiple levels and involving numerous entities. Picture a scenario where a person owns a company, which in turn owns two other companies, and each of those owns two more. Add to this mix various trusts and assets linked to the beneficial ownership, and you have a complex ownership chain or tree. The ultimate goal of UBO analysis is to pinpoint who truly owns these assets and businesses hidden within these labyrinthine...

Step into the forefront of intelligence analytics with GraphAware’s exclusive Bridge Meetup series. Designed to foster a vibrant community of intelligence professionals, we invite you to join us on a journey of discovery.

“In this dynamic landscape, the transition from tactical to strategic intelligence represents a profound paradigm shift—one that promises not just to react to unfolding events but to anticipate and even mould the future.”

Welcome to the second instalment in this series, which tracks the journey to revolutionise law enforcement through advanced data analysis. In this series, expect to uncover a wealth of knowledge that underpins the enhancement of policing methods using graph analysis. Join us at the vanguard of policing technology as we delve into the transformative power of Knowledge Graphs. In the previous chapter, we illustrated the process of transitioning from isolated data silos to a holistic intelligence data system, resulting in a single source of truth.

“Without being able to analyse data comprehensively and systematically, policing won’t be as efficient as it can be. [State of Policing - The Annual Assessment of Policing in England and Wales 2019]”

Welcome to our LLMs and Knowledge Graphs Series. In this collection of blogs, we embark on a journey at the intersection of cutting-edge large language models and graph-based intelligence. Whether you’re a seasoned data scientist, a curious developer, or a business leader seeking actionable insights, this series promises to demystify the synergy between LLMs and knowledge graphs.

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 criminal network analysis 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.Graph network analysis are an underutilised intelligence toolGraphs can provide valuable insights for intelligence analysts. They allow for a graph visualization 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.