Structured Data Assets
Onboard, monitor, and govern structured data sources in Aurva.
Structured data assets are databases and table-oriented stores where Aurva can discover schemas, sample rows, and produce per-column classification. This includes:
- Relational databases — PostgreSQL, MySQL, MariaDB, Oracle, MSSQL
- Cloud-managed databases — AWS RDS, Azure SQL, Cloud SQL, Aurora
- Document stores — MongoDB, DocumentDB, Cosmos DB
- Data warehouses — Snowflake, BigQuery, Redshift, Synapse
What Aurva does for structured assets
- Schema discovery — enumerates databases, schemas, tables, and columns.
- Column-level classification — samples rows and detects sensitive data types (PII, PHI, payment, identifiers).
- Sensitivity scoring — produces a per-asset score driven by the volume and types of sensitive data found.
- DAM — captures queries via eBPF, AIDA, or cloud audit logs.
- Posture checks — encryption, public exposure, retention, and access misconfigurations.
Onboarding
To add a new structured asset, follow Onboarding a Data Asset Manually. After onboarding, configure DAM via Monitoring Configuration.