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
Data lineage traces where data moves after it lands — each pipeline chain is reconstructed end to end and scored, so an encrypted source feeding an unencrypted downstream store is caught as one finding about the flow rather than two unrelated findings about two buckets.
- 6
Findings refresh continuously so new datasets, permission changes, and public exposures surface within minutes.
Specific outputs, measurable outcomes
DSPM — Data Security Posture Management 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 DSPM — Data Security Posture Management in your cloud?
Connect a read-only role in three minutes. Your first findings surface in under five.