Privacy Computing & Compliance Security
Hold the security and compliance line for regulated industries — federated + GNN cross-institution modeling, full domestic stack compatibility, end-to-end observability.
Evidence notice: cases, figures and inferred project metadata are unverified scenario illustrations, not established client outcomes, credentials or return promises. Signed contracts define scope, fees, baselines, acceptance and data responsibilities; client business data stays off-chain.
1. Key Capabilities
- Federated + GNN Modeling —— Cross-institution training — raw data never leaves the domain.
- Domestic Stack Compatibility —— Ascend/Cambricon + Kylin/UOS full-stack — pass信创 audits in one shot.
- Full-Chain Observability —— Audit logs from ingest to inference — minute-level root cause.
- One-Click Compliance Reports —— GDPR / PIPL / CCPA / DSL reports auto-generated — 10× audit productivity.
2. Representative Scenarios
Inter-bank anti-fraud · multi-center medical research · gov/SOE信创 rollout · cross-border compliant analytics.
3. Quantified Outcomes
Zero raw-data egress, compliance audit from months to days, +8–15pp AUC on cross-institution joint models.
4. Specs & Fit
| Federation protocol | Horizontal / vertical / transfer FL |
| Privacy tech | MPC / DP / HE (optional) |
| Chips | Ascend / Cambricon / NVIDIA |
| OS | Kylin / UOS / Ubuntu |
| Certifications | MLPS-3 / cryptographic eval / ISO 27001 |
5. Case Digest
Cross-bank AML federation
Banks model jointly without moving data — suspicious-path detection accuracy lifts.
+18pp suspicious-transaction precision.
Domestic-stack government LLM
Ascend + Kylin full-domestic stack, certified at MLPS Level 3.
Compliance passed first try, 6-week rollout.
Hospital privacy-compute multi-center study
Tier-3 hospitals model clinical research jointly without moving data.
4× cohort size, ethics approval first try.
SOE central-procurement compliance audit
End-to-end audit logs + homomorphic encryption; tender/contract handling is tamper-proof.
-78% audit-trace time, zero compliance incidents.
6. FAQ
Q. Does federation hurt accuracy?
A. <2% accuracy loss on mainstream tasks — far less than the compliance risk of moving data.
Q. Which domestic chips are supported?
A. Ascend 910/910B, Cambricon MLU370/590 — production-validated.
Q. Observability?
A. End-to-end audit logs for data flow, model calls and permission changes — tamper-proof.