One-sentence summary
According to a CNR report on October 27, 2026, IEEE Std 3826-2026, the standard for technical requirements of large language models for finance led by Mashang Consumer Finance together with over twenty institutions including Tsinghua University, has been published — China's first IEEE international standard led in the finance-LLM field.
Standard Overview
| Item | Details |
|---|---|
| Standard | IEEE Std 3826-2026 — IEEE Standard for Technical Requirements for Large Language Models for Finance |
| Developing body | Digital Finance and Economy Standards Committee under the IEEE Consumer Technology Society (per CNR) |
| Publication date | Published in October 2026; reported by CNR on October 27, 2026 |
| Nature | International (IEEE) standard; China's first IEEE standard led by a Chinese organization in the finance-LLM domain |
| Leadership | Mashang Consumer Finance Co., Ltd., together with Tsinghua University, China Electronics Standardization Institute, China Mobile, and over twenty industry-academia-research institutions |
Scope of Application
- Reference baseline when financial institutions design, develop, deploy, or procure large language models.
- Seven covered financial business scenarios: financial consulting, intelligent investment research, intelligent customer service, intelligent marketing, data-driven decision-making, risk control, and smart office work.
- Fintech companies and LLM vendors delivering model products to financial customers.
- Institutions aligning with the NFRA's June 2026 guidance (Jin Fa [2026] No. 8) on secure AI development and application in banking and insurance.
Key Clauses
| Dimension | Content |
|---|---|
| Technical framework | Covers design, development, deployment, and evaluation across eight layers including infrastructure, platform, data, and security, with directly referable functional metrics (per CNR) |
| Model tiers | Three tiers: general-purpose foundation models, industry-specific models, and scenario-customized models |
| Security system | Five security domains: network, data, model, service, and management security; data traceability and privacy protection set as hard requirements |
| Business coverage | Seven business lines: financial consulting, investment research, customer service, marketing, data decision-making, risk control, and smart office |
| Leadership and timeline | Led by Mashang Consumer Finance; drafting started in 2024 with over twenty industry-academia-research partners |
Compliance Recommendations
- Financial institutions can adopt the eight-layer framework and five security domains of IEEE Std 3826-2026 as their internal baseline for LLM selection, acceptance testing, and security evaluation, paying particular attention to the hard requirements on data traceability and privacy protection.
- LLM vendors selling to financial clients should prepare technical documentation aligned with the three-tier model taxonomy, making it easier for institutions to assess fit across the seven business scenarios.
- Banking and insurance institutions should align this standard with the 32 guiding opinions in Jin Fa [2026] No. 8 when benchmarking their own AI secure development practices.
- Specific metric values and test methods are governed by the officially published IEEE text; unpublished details should not be assumed.