Webinar Description
Key Takeaways
- Nuix and Linkurious present a joint webinar exploring graph-native link analysis for complex investigations
- The session addresses fraud detection, anti-money laundering compliance, cyber threat investigation and regulatory enforcement
- Intended audience includes fraud investigators, financial crime analysts, law enforcement professionals and compliance teams
- Focus on visualising hidden relationships across large datasets using graph technology integrated into the Nuix Neo platform
Introduction
Nuix and Linkurious are hosting a webinar on 9 July 2026 examining how graph-native link analysis can help investigators uncover hidden connections within complex datasets. The session is designed for professionals working in fraud investigation, financial crime analysis, law enforcement and regulatory compliance who need to identify patterns and relationships across large volumes of disparate data. As investigations increasingly span multiple systems, jurisdictions and data sources, traditional analytical methods often struggle to surface the connections that matter most.
About This Event
This webinar follows Nuix’s acquisition of Linkurious, a company specialising in graph visualisation and link analysis technology. The integration brings Linkurious’s graph-native capabilities into the Nuix Neo platform, combining forensic-grade data processing with interactive network visualisation tools. The session will demonstrate how these combined capabilities enable investigators to explore complex data relationships while maintaining the defensibility and auditability required for legal and regulatory proceedings.
Graph Technology in Modern Investigations
Graph databases and visualisation tools represent a fundamentally different approach to data analysis compared with traditional relational databases. Where conventional systems excel at structured queries against well-defined tables, graph technology is purpose-built for exploring relationships between entities. This makes it particularly valuable for investigations where the connections between people, accounts, transactions and events are often more revealing than the individual data points themselves.
Link analysis allows investigators to map networks visually, making it easier to identify clusters of related activity, trace the flow of funds through complex corporate structures, or spot anomalous patterns that might indicate fraudulent behaviour. When dealing with millions of data points spread across multiple source systems, the ability to render these relationships graphically can dramatically reduce the time required to understand what has actually occurred.
The webinar will explore how automated relationship discovery can surface connections without requiring investigators to manually hypothesise and test every possible link. This capability becomes increasingly important as the volume and complexity of data involved in typical investigations continues to grow.
Applications Across Financial Crime and Compliance
The session covers several distinct use cases where graph-based investigation tools provide particular value. Fraud detection benefits from the ability to connect data points across disparate sources in real time, allowing analysts to identify suspicious patterns as they emerge rather than discovering them retrospectively. Anti-money laundering compliance teams face similar challenges, often needing to trace funds through layered transactions designed specifically to obscure their origin and destination.
Cyber threat investigation represents another domain where relationship mapping proves essential. Understanding how threat actors move through networks, which systems they have accessed, and how different incidents may be connected requires the kind of multi-dimensional analysis that graph technology facilitates. Regulatory enforcement agencies similarly benefit from tools that can reveal the structure of criminal networks and document those relationships in ways that will withstand legal scrutiny.
The emphasis on defensible, auditable processing reflects the reality that investigation findings frequently need to be presented in court or to regulatory bodies. Technology that produces compelling visualisations but cannot demonstrate a clear chain of custody or explain how conclusions were reached has limited value in formal proceedings.
The Challenge of Cross-Jurisdictional Data
Modern investigations rarely confine themselves to a single data source or jurisdiction. Financial crimes routinely involve entities operating across multiple countries, each with different regulatory frameworks and data protection requirements. Corporate investigations may need to draw on email archives, financial systems, communication platforms and external data sources simultaneously. The ability to ingest, process and analyse data from these varied sources within a unified platform addresses one of the persistent operational challenges facing investigation teams.
Graph visualisation becomes particularly powerful in these contexts because it can represent relationships that span organisational and geographic boundaries. A transaction that appears unremarkable when viewed in isolation may reveal its significance only when mapped alongside hundreds of other transactions involving related parties.
Who Should Attend
The webinar is intended for fraud investigators, financial crime analysts, law enforcement professionals and compliance teams working with complex networks and sophisticated fraud schemes. Both existing Nuix Neo users and those evaluating investigation technology options may find the session relevant. The content assumes familiarity with investigation workflows and the challenges of working with large, complex datasets, though prior experience with graph technology is not required.
Conclusion
As data volumes grow and criminal schemes become more sophisticated, investigation teams need tools capable of revealing patterns that would otherwise remain hidden. The integration of Linkurious’s graph visualisation capabilities into the Nuix Neo platform represents an attempt to address this challenge by combining rapid data processing with intuitive network analysis. This webinar offers an opportunity to understand how these technologies work together and assess their applicability to specific investigation requirements.