Governments, armed forces, and public institutions face increasing pressure to make faster, better-informed decisions while navigating fragmented data, siloed systems, and rising demands for transparency. In defence, intelligence, and law enforcement, the ability to connect and act on data in real time is no longer optional.
Many organisations have turned to large, monolithic intelligence platforms like Palantir Technologies. However, these approaches can introduce complexity, rigidity, and dependency that limit adaptability in rapidly evolving operational environments.
Graph technology offers a powerful alternative.
By structuring data as interconnected entities rather than isolated records, knowledge graphs provide a more flexible, transparent, and scalable foundation for intelligence. They enable agencies to uncover hidden relationships, adapt quickly to new requirements, and retain full control over their data and architecture.
Join data leaders at our closed door GraphTalk Government Intelligence event to explore how forward-thinking agencies are adopting graph technology as a modern alternative to traditional intelligence platforms. Discover how intelligence organisations are solving critical challenges—from entity resolution and network analysis to fraud detection and citizen services—using a graph-first approach.
Why Attend:
-Â Hear real-world success stories from the Danish Tax Authority, GraphAware, and others
-Â Explore why graph-powered intelligence outperforms platforms like Palantir by revealing deeper, more flexible relationships in data
-Â Learn how to reveal hidden relationships between assets, people, and events
-Â Discover how graph technology accelerates intelligence analysis and decision cycles
-Â Explore how to build secure, scalable architectures for mission-critical environments
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You’ll leave with a clear understanding of how knowledge graphs enable speed, certainty, and operational advantage, not as a future vision, but as a deployable capability.
Christian Raaby, AI Architect, Udviklings- og Forenklingsstyrelsen (UFST)
In this talk, Christian shares UFST's perspective on building and operating a graph-based Intelligence Platform for investigating organised tax crime — covering why they chose graph technology, the key implementation decisions, and the lessons learned along the way.
Pedro Leitao, Senior AI Solutions Architect, Neo4j
In this talk, Pedro will explore how advanced Knowledge Graphs and Temporal GraphRAG empower organisations to break down complex data silos and combat sophisticated, interconnected threats. Because modern adversaries and vulnerabilities do not operate in isolation, agencies must unify fragmented data sources to perform accurate entity resolution and expose hidden networks. Pedro will discuss how mapping deep, multi-tiered relationships unmasks obscured corporate structures, secures supply chains, and identifies bad actors. Finally, the session will highlight how transforming complex documents into a deterministic Knowledge Graph creates an "Investigative Time Machine," enabling explainable, hallucination-free GenAI that can accurately navigate shifting historical regulations and operational guidelines for critical retroactive audits and investigations.
Cparta Cyber Defense
In this session, Cparta will share their journey with GraphAware Hume and Neo4j.
The talk will also provide a snapshot of their architecture, key design choices, and lessons learned from building a simplified ontology to integrating diverse data sources and extending capabilities with Hume. Finally, it will reflect on how this approach compares to other platforms, including where a hybrid strategy may make sense.
Christophe Willemsen, Chief Technology Officer at GraphAwareÂ
Intelligence analysts often spend more time wrestling with data than actually analysing it. Information is scattered across disconnected systems, forcing them to manually piece together relationships between people, events, locations, and organisations. It is a slow, error-prone process that limits deeper investigations.
In this talk, Christophe introduces an alternative approach: turning disparate data into a single connected view of intelligence. This enables analysts to uncover hidden connections, move faster, and go deeper in their analysis.
