Solution
Expose operational data safely
Every internal tool that needs production data ends up with a connection string. That is how a read-only dashboard becomes an incident. A typed, permissioned access layer is how you say yes without handing out the database.
The request everyone gets, and cannot safely grant
Direct database access
- Credentials spread to tools nobody is tracking
- Permissions are all-or-nothing at the table level
- No record of who read or wrote what, or why
- A schema change silently breaks four consumers
- Revoking access means finding every place it was used
A governed access layer
- One surface, with permissions expressed per operation
- Typed contracts, so a schema change is a visible break
- Every read and write attributable and logged
- Revocation happens in one place and takes effect immediately
- The underlying database stays private
What you get
- Zero-boilerplate deployment over an existing database
- Declarative configuration, versioned like any other code
- Authorization built in rather than bolted on
- Observability and an audit trail over every operation
- Native MCP support, so AI tooling uses the same boundary
- Works in front of legacy systems you are not ready to replace
Tooling
What this is built on
Data API
The access layer itself — declared operations, typed contracts, permissions per operation and an audit trail over every call.
See the Data APIDsync
Where the data needs to live somewhere other than the system of record, Dsync keeps a replica continuously in step so the access layer never reads from a database you did not want exposed.
Explore DsyncProof
“Don’t even attempt to do your own thing. Just use Dsync.”
Talk through your access problem
Tell us who is asking for data and what you are not comfortable granting. We will map what a governed layer would look like over your systems.