Uncovering Hidden Sanctions Risk with Knowledge Graphs

Sanctions evasion has become increasingly sophisticated. Illicit actors are exploiting opaque ownership structures, multi-jurisdictional networks, shell companies, and indirect transactional channels to obscure their footprints. Traditional monitoring approaches are struggling to keep pace with graph technologies that focus only on close links and relationships.

During this webinar, you’ll learn more about:

• Multi-hop network expansion: How traversing outward from sanctioned entities reveals hidden relational pathways that traditional screening methods fail to detect.
• QKG Perspectives: How Quantexa Knowledge Graph Perspectives make intuitive sense of key patterns within extensive entity relationship networks.
• High-risk node identification: Practical examples of identifying high-risk entities via ownership and directorship connections, extensible to jurisdictional and transaction-pattern analysis.
• Graph-derived features: How these features support risk scoring, contextual alerts, and downstream decision-making — accelerating deeper investigative workflows.

Join Quantexa’s experts for a deep-dive technical session demonstrating how Quantexa’s Knowledge Graph (QKG) and multi-hop analysis capabilities enable organisations to identify complex, indirect, and previously undetectable sanctions evasion patterns.

Drawing on graph-based analytical methods including multi-hop traversal from sanctioned seed entities, graph-based proximity scoring, and the identification of hidden and obfuscated connections, this live session will showcase how QKG provides a scalable, contextual foundation for sanctions risk investigations.