DataAigis Data Security & Compliance · Data Classification
Sensitive Data Discovery · AI-Powered Classification · Full Asset Visibility
Data classification is a core module of DataAigis Data Security & Compliance, helping organizations answer the most fundamental compliance questions — "Where is my data? What type is it? Who has access?" Through AI-powered automated scanning and classification engines, it enables comprehensive sensitive data discovery, precise labeling, and continuous monitoring, establishing the data foundation for compliance governance.
682+
Manageable data asset types
90%↓
Manual classification workload reduction
Minutes
Classification report generation time
Six things, in order — from finding out what you have to the register your team works in every day.
Find out what you actually hold. On the structured side, register a data source and we scan schemas, tables and columns; on the unstructured side, register a file source and we scan the files. Network segments can also be scanned actively to surface unregistered data services — any file service found can be registered as a source in one click.
Identify personal data in the content itself: national ID (with MOD 11-2 check digit), mobile numbers, bank cards (Luhn plus length and prefix checks), email, GPS and VIN. Rules can be added, edited or removed. Identical PII values are de-duplicated by fingerprint, so one person is not counted many times.
Map identification results to sensitivity levels L1–L5. Templates are built in, and industry templates can be imported from Excel. AI-assisted labelling can be enabled for this step.
The first three capabilities applied to files. Common formats — PDF, Office, HTML, email and archives — are parsed, and medical images (DICOM) have patient name, ID and date of birth read straight from the header. Scan depth can be set to metadata only or full content; metadata-only avoids downloading files, which keeps object-storage egress under control.
The part your team lives in after the scan: bulk confirmation, locking (a locked entry is not overwritten by the next scan), single-record correction, filtering across sensitivity type, risk level, grade, detection state, parse failures and keywords, and Excel export. The register distinguishes four states — not scanned, partially identified, parse failed, scanned — so an unscanned asset never looks like a clean one.
Daily or weekly scheduling, resume from interruption, live progress, and stop at any time. This is what separates an ongoing register from a one-off inventory: assets change daily and the register has to follow.
Network segments can also be scanned to surface unregistered data services, and any file service found can be registered in one click. Other sources are adapted to the customer environment.
Precisely identify customer information, transaction data, and financial records to meet strict regulatory requirements for data classification.
Automatically discover and label patient privacy data and sensitive medical records to ensure health data protection compliance.
Protect core technical documents, supply chain data, and trade secrets with a robust industrial data classification framework.
Adapt to diverse data governance needs across the full data lifecycle, providing the data foundation for GDPR, PIPL and other compliance audits.
Supports on-premise and cloud deployment across Linux, Windows, and other major operating systems.
Optimized for large-scale data scenarios, requiring only 4-core CPU / 16GB RAM for stable operation.
Modular design for rapid integration with existing IT systems, sharing one data layer with compliance assessment and risk monitoring.
Comprehensive data asset inventory — where your data is, what it is, and who accesses it is no longer unknown.
AI-powered scanning and labeling reduces manual classification workload by 90%, with reports generated in minutes.
Provides accurate data asset insights as the foundation for compliance assessment and risk monitoring.
