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Decision Systems for Capital Markets - GA Announcement
Quantexa’s Capital Markets Anti‑Money Laundering (AML) Decision System is now generally available as part of platform version 2.8.10, extending AML coverage across Trade Execution and Trade Settlement, with initial support for FX Spot and Cash Equities. This GA release introduces key capabilities to improve detection accuracy and investigation efficiency, including: Multi‑Monitored Transaction Support, enabling multiple transaction sources to be ingested and scored within a single alert while preserving the context of each source. Customer Typology Scorecards, providing flexible multi‑scorecard configuration and clearer visibility into how typology‑ and product‑specific risk scores contribute to overall risk. The release also delivers the first set of Capital Markets risk scores, alongside Graph Scripting Auto‑Generation to reduce deployment effort and an Initial Task Networkthat automatically builds rich investigation networks and highlights activity aligned to score triggers. Together, these enhancements accelerate time‑to‑value, increase transparency in risk reasoning, and support more effective investigations. Read more about the Capital Markets use case and recent enhancements for Decision Systems in the full release announcement. Decision Systems for Capital Markets - GA AnnouncementUncovering Hidden Sanctions Risk with Knowledge Graphs
Sign Up Today! Thursday 16th April | 2pm BST | 9AM EST 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. Sign Up Today!0Comments
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