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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 About the Author Piotr Kramek, is an expert in designing and implementing cutting-edge fraud detection systems, showcasing a deep understanding of unified platform architectures and complex data integration. His skills include leveraging advanced analytical techniques like machine learning and social network analysis to significantly improve […]
Revolutionizing Auto Insurance Fraud Detection with Advanced Analytics About the Author Piotr Kramek, is adept at designing and deploying sophisticated analytical solutions to combat complex financial crimes, particularly in the insurance sector. His expertise lies in leveraging dynamic scoring, link analysis, and comprehensive data integration to identify organized fraud schemes and significantly enhance investigative efficiency. […]
DataWalk enables deeper insights through robust contextual data analysis by connecting multiple data sources. At DataWalk, we often refer to contextual data when discussing the capabilities of our software platform. But what qualifies data as “contextual” and what’s involved in analyzing it? Contextual data refers to information that provides additional context, background, or situational […]
The digital landscape has revolutionized the way we conduct transactions, communicate, and interact. However, this interconnectedness has also opened doors for increasingly sophisticated fraud. Traditional fraud detection methods, often relying on static rules and isolated data points, struggle to keep pace with the dynamic nature of these threats. Contextual fraud detection has emerged as a […]
Internal Audit and Fraud Detection A Proactive Approach to Mitigating Risk Internal Audit’s Crucial Role in Fraud Detection Internal Audit and Fraud Prevention Navigating the Challenges and Evolving Landscape of Fraud The Value of Internal Audit in Fraud Management Graph Technology and AI – Empowering Internal Audit and Fraud Detection Conclusion – Fraud and Internal […]
Blog Published: February 28, 2025 Published: August 23, 2025 Internal fraud, also known as insider or occupational fraud, is a persistent and costly threat that exploits an organization’s inherent trust in its employees. As fraudulent schemes grow more sophisticated and data volumes explode, traditional detection methods are no longer sufficient. A modern approach […]
SAS Visual Investigator is a robust tool widely recognized among analysts and investigators for its comprehensive detection and investigation capabilities. It offers essential features such as alert creation and management, advanced data search, and network visualization, which help investigative teams detect and analyze suspicious behavior.
Data analysis and statistical techniques have long been used in the insurance industry to gain valuable insights and improve decision-making.
Customers often come to DataWalk after realizing that building custom software on a graph database for fraud detection doesn’t always work.
