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What is a Network Graph? Nodes, Edges, and the Questions Your Data Stack Can’t Answer Key takeaways A network graph represents entities as nodes and the relationships between them as edges, making relational structure visible and analysable. Tables describe what entities are. Network graphs describe how they are connected, a fundamentally different kind of question. […]
The Hallucination Trap. Why Generative AI in Banking Requires a Persistent Context Layer Anti-Fraud “Banks are under pressure to adopt Generative AI quickly. Boardrooms want productivity gains, faster investigations, better customer service, and more efficient compliance operations. But Chief Data Officers, AI leaders, and risk teams are running into a more difficult problem: the Technical […]
Context Changes Everything in Investigations. But Changes in Context Matter Most. Key Takeaways Beyond On-Demand Context: Traditional investigation models delay decisions by forcing analysts to manually gather data only after an alert triggers. Modern platforms provide Day-One institutional context. The Challenge of Dynamic Data: Data changes constantly—ownership structures shift, new identifiers appear, and risk profiles […]
What Is Contextual Analytics? Anti-Fraud Executive Summary Most data projects are “disposable,” i.e., the context is built for one dashboard or one case and then lost. DataWalk introduces Persistent Context. By mapping data once to a flexible ontology, the intelligence “compounds” over time. As new data sources are added, they extend the existing model rather […]
The $3 Billion Blind Spot: Why Static Risk Ratings are a Liability in 2026 Anti-Fraud The chasm between criminal speed and bank defense is no longer a gap; it’s a liability. While bad actors use automated networks to move illicit funds in milliseconds, the average bank is still tethered to a static, 365-day review cycle. […]
From Data Silos to Data Insight: How to Uncover Internal Fraud Rings Before They Strike Anti-Fraud The Potential Multi-Million Dollar Blind Spot in Your Bank’s Defenses In Florida, an $8.8 million fraud ring (1) was only discovered after a bank fraud investigator noticed a single suspicious transaction. The scheme’s origin was not an external hacker, […]
Struggling with fragmented data and reactive tools? Learn how a unified knowledge graph eliminates analytical blind spots, empowering your team to proactively detect complex financial crimes and hidden threats.
How to Detect Sophisticated Wash Trading Networks The Multi-Billion Dollar Illusion Plaguing Modern Markets Anti-Fraud AML/KYC A staggering illusion of activity is distorting modern financial markets. A Forbes study found that over half of all reported Bitcoin trading volume is likely fake or non-economic.1 More recently, on-chain analysis firm Chainalysis identified a potential $2.57 billion […]
Discover how traditional architectures fail to stop organized financial crime. Learn how a unified platform using Graph AI and entity resolution can uncover complex fraud networks, lower TCO, and provide a clear, explainable solution.
DataWalk: The Unified Platform for Advanced Fraud Detection & Investigation DataWalk provides a fundamentally different approach compared to other fraud detection software companies. By integrating all necessary capabilities into a single, flexible platform, DataWalk enables organizations to rapidly deploy, connect all relevant data, and significantly improve analytical outcomes. This unified system accelerates investigations and delivers […]
