"When a cross-cloud data pipeline hits the roadmap, everyone assumes someone else owns it. Who set it up? Who babysits the IAM? Who answers the auditor?"
AI teams move training data across clouds with every retrain, every dataset update, every new source. The transfers are recurring by design — but the pipeline that handles them is often ad-hoc: built by whoever needed the data, with no designated owner for IAM cleanup, log retention, or auditor response.
Failure modeNobody owns the cross-cloud pipeline — IAM lingers, logs expire, evidence is never produced.
Cost of missAn external auditor asks a question no internal team prepared for — and the answer takes weeks to assemble.
Current workaroundThe destination CSP declares its own transfer successful. That's self-attestation — not independent proof.
Measured onOperational ownership — can you name who answers the auditor for every dataset that crossed a cloud boundary?
With TG
Every object carries an independently signed attestation — keyed to a universal TG object ID that follows the data across cloud boundaries. Not the destination cloud's self-assessment, but a third-party record proving source and destination hashes match. Before a single training step runs.