DAIV / PRODUCT ARCHITECTURE
DataACCAI-assisted Data Classification Platform
Discover database assets and use AI to classify data types and sensitivity levels. Rule checks and review produce clear data labels and a classification catalog.
Interactive 3D architecture01 / Product Architecture
Understand data categories.
Identify sensitivity levels.
Data Assets, AI Classification, Classification Results. Select a zone or device to inspect its structure and responsibilities.
- 01Discovery
- 02AI-assisted Recognition
- 03Rule-based Review
- 04Classification Catalog
02 / Operating Workflow
Follow the data.
Understand each control.
Explore the DataACC workflow step by step. Paths follow the selected step; critical actions retain human confirmation.
This step requires human confirmation. Check rules and permissions before continuing the simulation.
Product simulation only. No production connection or real business operations.
03 / AI-assisted Management
Evidence for decisions.
Boundaries for execution.
Identify issues, explain evidence and suggest actions throughout the ai-assisted data classification platform workflow.
Assist sensitivity assessment
Explain classification evidence and review exceptions
AI explanations and advice do not imply automatic execution.
Deterministic rules, permissions and human approval govern high-risk actions.
ARCHITECTURE NOTES
AI-assisted Data Classification Platform,
Clear responsibilities at every layer.
This logical architecture illustrates product capabilities, not customer assets or live data. Nodes, devices and quantities explain responsibilities; actual deployment and network redundancy follow the project design. AI assistance does not replace human authorization.
01Data Assets
Database Assets A
Discover databases, tables, fields and classifiable data assets.
Database Assets B
Discover and identify assets consistently across databases.
02AI Classification
DataACC
AI identifies data categories and sensitivity levels, combined with rule validation to produce reviewable classifications.
AI-assisted Classification
Analyze data characteristics with AI to produce categories, sensitivity levels and supporting evidence.
Rule Validation & Review
Validate results against classification rules and create official labels after review.
03Classification Results
Category & Sensitivity Labels
Label assets by data category and sensitivity level, maintaining the two dimensions separately.
Classification Catalog
Consolidate asset categories and sensitivity levels into a searchable catalog.
01 / Discover Data Assets
Discover database assets centrally and bring them into classification management.
02 / AI-assisted Classification
Identify data categories and sensitivity levels with reviewable evidence.
03 / Rule Validation & Review
Confirm categories and sensitivity levels after rule validation and human review.
Human authorization required04 / Create Labels & Catalog
Organize confirmed categories and levels into data labels and a unified catalog.