Tencent's financial compliance agent uses a 32B model, skill-based rules, and dual-track self-evolution to achieve 95%+ recall, 80%+ precision, 40-second inference, and hourly rule updates, replacing manual review that took days.
Facing the 2025‑2026 regulatory deadline, Sichuan Rural Commercial Union Bank migrated its core services to Sugon Cloud’s “3D Secure Computation” platform, achieving full‑link encryption with only a 4.4% performance overhead and proving that hardware‑based security can be both compliant and virtually invisible to users.
The article details how China Postal Savings Bank rebuilt its core account transaction query system with a distributed micro‑service and big‑data stack, achieving millisecond‑level responses for over ten years of data, boosting performance by 700% and enabling new intelligent services.
This article explains the design and implementation of a global fund management ledger that integrates multi‑currency collection, allocation, settlement and accounting across more than 30 countries, providing real‑time visibility, risk control, compliance with diverse regulations, and seamless interaction with ERP and banking systems.
This article explains the design and implementation of Baidu's transaction middle‑platform asset system, covering C2C payment models, core business scenarios, asset flow processes, consistency guarantees, double‑entry accounting, hotspot account handling, storage architecture, and regulatory compliance to support rapid asset‑related business growth.
This article details the design and implementation of Baidu's transaction middle‑platform asset system, covering its C2C payment model, core asset management capabilities, consistency guarantees, double‑entry accounting, hot‑account handling, sharding and archiving strategies, and compliance with national financial regulations.
This article presents a comprehensive overview of how federated learning can be applied to financial data sharing, covering regulatory pressures, audit‑ready blockchain solutions, privacy‑preserving PSI techniques, incentive‑driven data marketplaces, and future directions for secure, compliant AI deployment in the finance sector.
