Privacy Computing & Compliance Security
Technology · Privacy & Compliance

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.

Key Capabilities

Key Capabilities

Four key capabilities required to put this technology into production.

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.

Scenarios

Representative Scenarios

Inter-bank anti-fraud · multi-center medical research · gov/SOE信创 rollout · cross-border compliant analytics.

Playbook

Download Solution Playbook

Generate a printable white paper for this module

Opens a playbook page with key capabilities, scenarios, outcomes, specs and case digest — use the browser's Save as PDF to distribute.

Download Playbook (PDF)
Case Studies

Case Studies

Filter anonymous scenario illustrations by industry, scenario and scale. Metrics and inferred customer, duration, stack and deployment metadata are unverified, not established customer outcomes.

Industry
Scenario

Finance

2 cases

Illustration · metrics unverified

Cross-bank AML federation

Banks model jointly without moving data — suspicious-path detection accuracy lifts.

Risk & ComplianceEnterprise / Group
Customer
Top-tier Banks / brokers / insurers
Duration
6–8 weeks
Tech stack
Federated learning · Predictive modeling
Deployment
Private deployment
Before vs After
suspicious-transaction precision+18pp
Before
100%
After
118%
+18pp suspicious-transaction precision.
Download case brief (PDF)

Illustration · metrics unverified

Hospital privacy-compute multi-center study

Tier-3 hospitals model clinical research jointly without moving data.

Decision & AnalyticsEnterprise / Group
Customer
Top-tier Banks / brokers / insurers
Duration
6–8 weeks
Tech stack
Federated learning · Predictive modeling
Deployment
Private deployment
4× cohort size, ethics approval first try.
Download case brief (PDF)

Government

1 case

Illustration · metrics unverified

Domestic-stack government LLM

Ascend + Kylin full-domestic stack, certified at MLPS Level 3.

GeneralEnterprise / Group
Customer
Top-tier Government & public sector
Duration
6–8 weeks
Tech stack
Multimodal backbone
Deployment
Private deployment
Compliance passed first try, 6-week rollout.
Download case brief (PDF)

Legal

1 case

Illustration · metrics unverified

SOE central-procurement compliance audit

End-to-end audit logs + homomorphic encryption; tender/contract handling is tamper-proof.

Risk & ComplianceEnterprise / Group
Customer
Top-tier Law firms & corporate legal/board offices
Duration
6–8 weeks
Tech stack
Multimodal backbone
Deployment
Hybrid cloud
Before vs After
audit-trace time-78%
Before
100%
After
22%
-78% audit-trace time, zero compliance incidents.
Download case brief (PDF)
Specifications

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
FAQ

FAQ

Does federation hurt accuracy?

<2% accuracy loss on mainstream tasks — far less than the compliance risk of moving data.

Which domestic chips are supported?

Ascend 910/910B, Cambricon MLU370/590 — production-validated.

Observability?

End-to-end audit logs for data flow, model calls and permission changes — tamper-proof.

Outcomes

Quantified Outcomes

We only ship technology that delivers ROI — here are the measurable metrics after enterprise rollout.

Zero raw-data egress, compliance audit from months to days, +8–15pp AUC on cross-institution joint models.

Defined scope. Accountable delivery.

Staged pricing & acceptance

Discovery, pilot and rollout have separate scope and fees. Contracts define baselines, evaluation samples, acceptance metrics and responsibility. Results are not unconditionally guaranteed.

Customer business data stays off-chain

Business records and personal data are not written to a blockchain. Confirm deployment region, model providers, access, retention and deletion in writing before work begins.

Clear contracting & delivery responsibility

Before signing, obtain and verify the legal entity, registration, jurisdiction, delivery owner and dispute terms. DAO collaboration does not replace contractual responsibility.