"No Training on Your Data" and Data Retention Claims — What They Actually Mean
Big AI companies promise they don't train on your data and delete it after X days. The fine print tells a different story.
What companies claim
OpenAI, Anthropic, Google, and Microsoft all publish similar-sounding privacy commitments:
"We do not train on your data."
"We retain data for X days for abuse monitoring, then delete it."
These sound reassuring. They are not the same as privacy.
What "no training on your data" actually means
This promise is narrow. It means your prompts and outputs are not used to improve the base model weights. That's it.
What it implies
Your data still flows through their infrastructure.
Employees, contractors, or automated systems may review it for safety, abuse, or quality purposes.
The data may be stored, logged, and analyzed before deletion.
What it exposes
If a breach occurs, subpoena arrives, or an employee goes rogue, your data is there. The "no training" claim offers zero protection against access, leaks, or compelled disclosure. It only prevents your data from becoming part of future model versions.
What "X days data retention" actually means
Most providers say they delete data after 30 days (or sometimes 0 days for zero-retention tiers). The clock starts when the request completes.
What it implies
Data lives on their servers, in logs, caches, and backup systems for the full retention window.
During that window, it remains subject to internal access policies, legal holds, and security incidents.
Deletion is not instant or guaranteed to be complete across all replicas and backups.
What it exposes
30 days is a long time for sensitive data. A single compromised credential, insider threat, or legal request can expose everything processed in that window. Short retention reduces risk but does not eliminate it.
What needs to be done
Real privacy requires removing the data from the provider's environment entirely. That means:
Run models in your own infrastructure
Or a trusted private cloud where you control access.
Keep prompts and documents inside your boundary
Your security perimeter, not theirs.
Eliminate provider visibility
Remove their ability to see or store your data at all.
The Bottom Line
Anything less leaves you relying on their promises, processes, and perimeter.
What Microve provides
Microve builds automations that run models locally or in your private environment. Your data never leaves your control.
No prompts sent to third-party APIs
Everything stays in your environment.
No logs on someone else's servers
Zero external retention windows to worry about.
If privacy matters more than convenience, we design around that constraint from day one.