financial security

DeWu Technology

Jul 29, 2024 · Artificial Intelligence

AI-Driven Loss Prevention: A Comprehensive Field-Level Risk Control System

The paper introduces an AI‑driven loss‑prevention platform that augments manual risk analysis with automated field recognition to map database and code models, generate loss‑related methods and interfaces, and deliver pre‑emptive avoidance, real‑time detection, and post‑incident response, achieving over 1,200% growth in identified loss methods and near‑full field coverage.

AIAutomated TestingBusiness Intelligence

0 likes · 8 min read

AI-Driven Loss Prevention: A Comprehensive Field-Level Risk Control System

Tencent Cloud Developer

Jul 17, 2024 · Databases

Design and Implementation of a Payment Fund Account System

The article outlines the design and implementation of a secure, highly available payment fund account system, explaining core concepts of accounts and double‑entry bookkeeping, detailing architecture using TDSQL sharding, and describing security measures such as STRIDE analysis, HMAC‑SHA256, idempotency, distributed transactions, and comprehensive auditing to ensure fund integrity under high concurrency.

Distributed DatabasePayment SystemTDSQL

0 likes · 34 min read

Design and Implementation of a Payment Fund Account System

AntTech

Dec 13, 2023 · Information Security

Graph-Based Intelligent Risk Control: Technologies, Infrastructure, and Real‑World Cases

The article reviews the rise of graph‑based intelligent risk control in the digital economy, outlining its technological evolution, key algorithmic capabilities, underlying infrastructure requirements, and practical case studies that demonstrate its impact on financial security and high‑concurrency scenarios.

Graph Neural Networksbig data analyticsfinancial security

0 likes · 9 min read

Graph-Based Intelligent Risk Control: Technologies, Infrastructure, and Real‑World Cases

DataFunSummit

Dec 15, 2022 · Information Security

Multi‑Party Secure Risk Control: Challenges, Architecture, and Practice

This article examines the growing complexity of financial risk scenarios, outlines global privacy regulations, describes Ant Group's three‑layer multi‑party secure risk‑control architecture, showcases anti‑fraud and external client use cases, and discusses current challenges and future directions for secure, privacy‑preserving risk management.

financial securityprivacy protectionregulatory compliance

0 likes · 14 min read

Multi‑Party Secure Risk Control: Challenges, Architecture, and Practice

Cloud Native Technology Community

Jun 2, 2022 · Cloud Native

Cloud‑Native Networking: Trends, Application Scenarios, and Solutions

This article analyzes the rapid evolution of cloud‑native networking, identifies key trends such as the limits of a single CNI, the rise of auxiliary components, emerging technologies and hardware‑software integration, and examines six major application scenarios—from traditional workloads to edge, multi‑cluster, financial‑grade security, and telecom—offering open‑source and commercial solutions for each.

Edge Computingcloud-nativefinancial security

0 likes · 15 min read

Cloud‑Native Networking: Trends, Application Scenarios, and Solutions

DataFunTalk

Feb 11, 2019 · Artificial Intelligence

Machine Learning Applications in Credit Anti‑Fraud

This article explains how machine learning, deep learning, and graph‑based techniques are applied to credit anti‑fraud in finance, covering fraud risk characteristics, the anti‑fraud lifecycle, rule limitations, supervised models, common algorithms, neural networks, time‑series models, and graph analytics for detecting individual and group fraud.

AIcredit riskdeep learning

0 likes · 11 min read

Machine Learning Applications in Credit Anti‑Fraud