GraphAware at
AIPIO Intelligence

Plenary Roundtable Discussion

28 August 2024
Three 20-minute sessions with rotating topics

Join Dan Newland, General Manager for Australia, at the Plenary Roundtable Discussion where we will be hosting a table to facilitate in-depth conversations on pressing intelligence issues.

You can also arrange a meeting with Dan any time during the AIPIO to discuss how GraphAware can support and enhance your intelligence capabilities

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.