What to expect?
This focused two-day event brings invaluable insights and strategies, including:
- Deep dives into AML priorities, sanctions evasion, and AI-driven crime detection
- Expert-led sessions on navigating evolving SEPA, US–EU divergences, and implementing risk-based approaches
- Peer networking to share best practices in compliance and enforcement
Join GraphAware at the Nordic Financial Crime & Sanctions Forum 2025
16–17 September 2025 | Crowne Plaza Copenhagen Towers, Copenhagen
The Nordic Financial Crime & Sanctions Forum is the region’s top gathering for senior AML, sanctions, and financial crime experts—160+ decision-makers from Nordic and European banks, financial institutions, and corporations.
Swing by our booth any time to discuss your challenges and explore tailored solutions with our expert team. We will also live DEMO, for example, graph-powered risk detection and ultimate beneficial ownership (UBO), AML workflows and investigative speed.
You can also book a meeting in advance via our form “Arrange Meeting”.
Looking forward to speaking to you there!
Exhibition
Ultimate Beneficial Ownership Investigations
We will also demonstrate how graph technology is transforming UBO investigations through three powerful, real-world applications: identifying ultimate beneficial owners, tracing financial flows, and evaluating risk across complex ownership networks.
Integrated within the Hume platform, graph analytics empowers investigators to resolve entities across disparate datasets, reveal hidden connections through ownership chains, and overlay transaction data to detect patterns like round-tripping or structuring. With graph data science, risk can be quantified dynamically, helping analysts surface suspicious behavior proactively.
By mirroring human reasoning and enabling real-time exploration, graph-powered UBO analysis brings unprecedented clarity and speed to financial crime investigations.
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 GraphAware 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, GraphAware Hume empowers analysts to efficiently aggregate and analyse data, facilitating informed decision-making and proactive threat mitigation strategies.
