GraphAware at ISS World Europe 2024

Automate Knowledge Graph Creation
With Large Language Models 

Tuesday, 4 June 2024

In this hands-on training, our domain expert and experienced former military intelligence analyst Iulian Timischi, you will learn how design workflows that automate creation of knowledge graphs using large language models. You will have the opportunity to create your own link diagram from unstructured text and explore connections between your entities.

Graphs in Criminal Intelligence

Wednesday, 5 June 2024

An introduction to the cutting-edge capabilities of graph databases for law enforcement agencies. Through real-world examples, this session will demonstrate how GraphAware Hume builds a single view of intelligence and empowers analysts to uncover hidden connections, identify patterns, analyse criminal networks, and enhance their investigative efforts.

Transformational Power of Graph Data for Law Enforcement Agencies: A Case Study

Wednesday, 5 June 2024

A case study showing the impact of graph technology on law enforcement’s ability to use ever-growing volumes of data to prevent crime and protect communities. When faced with the challenge of turning this valuable, disconnected and siloed data into actionable intelligence, an Australian police force successfully implemented a graph database and the Hume graph analytics platform, consolidating such data into a dynamic knowledge graph. The result was a connected view of intelligence, enabling their analysts to solve crimes much faster.

Graph Powered Police Investigation

Stop by our booth to witness how Hume, powered by a graph database, revolutionises police investigations.

Our engineers will demonstrate how Hume seamlessly integrates disparate data sources, employs advanced analytics like temporal and geospatial analysis, and empowers investigators with intuitive visualisations. From identifying prime suspects to monitoring offenders and identifying threats, Hume streamlines the entire investigative process.

Analysts visiting our booth will experience the power of data linkage and complex querying firsthand, discovering how Hume, with its graph database backbone, can enhance their investigative efficiency.

Knowledge Graph Extraction from Unstructured Data Using GPT 

At our booth, we will also showcase a groundbreaking paradigm shift with Large Language Models (LLMs) utilised for extracting knowledge graphs from diverse unstructured data sources such as documents, judicial reports, investigator reports, and social media posts.

Seamlessly integrated within the Hume data orchestration tool, LLMs empower data engineers to effortlessly integrate them into workflows, significantly reducing the time to acquire knowledge from months to mere minutes. Hume Orchestra harnesses the power of LLMs for entity extraction and relationship identification from text, sculpting a structured graph/network within a production system.

Cyber Security

We will showcase how to leverage integration of various APIs within the Hume intelligence analytics platform, including VirusTotal, urlscan.io, and NIST's CVE database.

We will utilise these tools to investigate cybersecurity incidents, analyse contaminated files, and identify vulnerabilities associated with software. Through advanced features and workflows, such as threat category visualisations and IP address exploration, Hume empowers analysts to efficiently aggregate and analyse data, facilitating informed decision-making and proactive threat mitigation strategies.

Creating Knowledge Graph from Phone Forensics 

We will demonstrate the ingestion of forensic phone extractions and their transformation into a knowledge graph.

Based on information content and graph connectivity, we will select the most relevant target entities. Then, we will extract key information from these target phones using cutting-edge AI, including LLMs. Finally, we will enrich the data using OSINT, providing unique context on the target entities.