1) From Batch Reports to Real-Time Defense For years, banks relied on overnight jobs, static dashboards, and manual reviews to detect fraud. However, in an instant-payment world, by the time a batch job finishes, the fraud has often already completed.…
FedNow fraud detection demands sub-second decisioning, multi-signal models, and analyst-ready workflows—without adding friction for good customers. Why FedNow Changes the Fraud Game FedNow is a 24/7/365 instant-payment rail with immediate settlement. There’s virtually no pause window for after-the-fact intervention. The…
Introduction: Why AI in Fraud Detection Matters Fraud in the U.S. continues to surge. In 2024, consumers reported $12.5 billion in losses to the FTC, while the FBI’s IC3 report tallied $16.6 billion in cyber-enabled crimes. For U.S. financial institutions,…
Intro: This article is a practical guide to bank scam prevention for fraud analysts, prevention teams, and detection specialists. It explains current scam tactics, the signals to log, the controls to deploy, and the KPIs to measure – so teams…
What Is First-Party Fraud? First-party fraud in banking is an increasingly critical issue that occurs when real customers use their own identity to commit fraudulent acts. It is a major contributor to financial losses, particularly in U.S. institutions. First-party fraud…
Discover how synthetic identity fraud combines real and fake information to bypass security checks, posing significant risks to financial institutions and consumers. Learn key strategies for detection, prevention, and future trends in combating this growing threat.
Account Takeover Fraud (ATO) is one of the fastest-growing cyber threats, causing billions in losses globally. Learn how advanced tools like BioCatch, Duo Security, and ExpressVPN can safeguard your accounts against unauthorized access. Discover strategies, real-world success stories, and actionable tips to stay protected.
In today’s digital economy, Alation and Snowflake integration for data governance is transforming how organizations manage their data. From financial institutions to retail giants, businesses are leveraging this powerful combination to harness data for decision-making, unlocking insights while ensuring that…
In the rapidly evolving landscape of 2024, Generative Artificial Intelligence (GAI) stands at the forefront of a technological revolution, reshaping industries and redefining the boundaries of innovation. This excerpt delves into the transformative power of GAI, highlighting its pivotal role in driving forward scientific discovery, particularly within the realm of materials science. With the ability to semantically interpret and manipulate input data, GAI emerges as a critical tool in predicting material performance, enabling the discovery of novel materials, and facilitating the inverse design process. This not only accelerates the exploration of vast chemical spaces but also integrates complex domain knowledge, pushing the frontiers of what's possible in material science. As we navigate through the challenges and opportunities presented by GAI, its impact on economic growth and the broader scientific community becomes increasingly evident, marking a new era of AI-driven innovation.
In the turbulent waters of the 21st-century global economy, a significant transformation is underway. The rise of China as a global economic powerhouse and the ensuing Tech Cold War (TCW) between the United States and China represent a tectonic shift…
