USE CASES
Start with the moment
a data flow becomes hard to explain
Logs live in different places and organizations control different segments. These five scenarios show what to record at those boundaries so the same flow can be checked later.
Five scenarios
Each page follows one event from the operating problem to provin’s placement and the result a verifier can check.
- 01
Manufacturing · ETL / ELT · multi-service pipelines
Trace the impact of a faulty input
After a defective lot or bad input is found, follow its path through branches and narrow down the outputs that need review.
Read the scenario - 02
Supply chains · data spaces · inter-company APIs
Check a handoff between organizations
Without relying on the sender’s dashboard or database, verify who declared each input, output, and handoff.
Read the scenario - 03
Audit · long-term retention · retired services
Verify evidence after the original system is gone
Package the material required for verification before a service or resolver disappears, then retain and verify it away from the live environment.
Read the scenario - 04
IoT · event processing · at-most-once delivery
Separate processing success from delivery failure
Record processing and downstream delivery separately so a gap during transport can be distinguished later.
Read the scenario - 05
Sensor aggregation · features · analytics
Check which inputs went into an aggregate
Commit to the input set used by an aggregation and later check whether a particular input was included.
Read the scenario
The common move: record evidence when data is handed over
provin does not wait for an investigation to assemble and infer a path from unrelated logs. It leaves a signed record as data is received, processed, and passed on. The recipient can retain that record and verify continuity in its own environment.