You had one production database in 2019.
Today you have that database, three read replicas, four analytics warehouses, a dozen S3 buckets holding exports, a Snowflake stage, and a caching layer that shouldn't exist. Somewhere in that sprawl is customer PII that a summer intern's IAM role can read. Nobody drew a map — until an auditor asked for one.
The risk of not knowing
If it is not surfaced today, it is exposed today. Attackers do not wait for your quarterly review — and neither do auditors.
The mechanism, not the marketing
- 1
Onam enumerates every storage resource across your clouds — S3, RDS, DynamoDB, Blob, Azure SQL, GCS, BigQuery, Snowflake, and more — via read-only APIs.
- 2
Metadata-based classification labels each store by likely sensitivity (PII, PHI, PCI, secrets) using naming, tags, schema, and configuration signals — without reading contents.
- 3
The engine joins classification with the identity graph to compute exactly which principals can read or write each store, and via which paths.
- 4
Network reachability is layered on top so a bucket that is technically encrypted at rest but publicly reachable is treated as exposed.
- 5
Findings refresh continuously so new datasets, permission changes, and public exposures surface within minutes.
Specific outputs, measurable outcomes
Data Security (DSPM) in the real console.
Not a mockup — the actual Onam console on a live demo account, showing exactly what your team sees.
Questions we get a lot
Ready to see Data Security (DSPM) in your cloud?
Connect a read-only role in three minutes. Your first findings surface in under five.