Platform
Your data stays yours.
Isolated tenancy, two-factor sign-in, role-based access and encryption from day one. Customer content is never used to train models.
Product · Security & Privacy
WorkspaceIsolated tenancy
Tenant isolatedNo model training
Row-level securityevery workspace
Two-factor sign-inon
Encryption at rest and in transiton
Model training on your contentnever
The problem
AI tooling usually asks you to trust it with the whole customer record.
For a bank, a ministry or a hospital that is not a procurement question, it is a refusal. Isolation and a written model-training policy have to come before the first pilot, not after it.
- Shared storage with no clear separation between customers
- No clear statement on whether customer content trains a model
- Access and export activity not logged to an auditable standard
The answer, on screen
Security & Privacy as it ships
Security & PrivacyRené workspace

Specification
IsolationRow-level security
Sign-inTwo-factor
Model trainingNever on customer content
What it does
5 capabilities01
Tenant isolationRow-level security separates every workspace. Nothing crosses between customers.
02
Model policyCustomer content is never used for training. The engine learns from structure and outcomes.
03
Access controlTwo-factor sign-in with authenticator codes, and role-based permissions per workspace.
04
Change historyWho changed what, and when, on every journey.
05
EncryptionTLS in transit, AES-256 at rest.
In the product
Roles and access

Every change recorded

Against generic AI tooling
TodayWith René
Password onlyTwo-factor sign-in
Training policy unclearNever on customer content
Shared infrastructureIsolated tenancy
Questions we get asked
No. Customer content is never used to train models. The Experience Engine learns from journey structure and intervention outcomes, both aggregated and non-identifying.
Make one journey measurable this week.
Start with the journey that costs you the most. Free plan, one journey, all four views — no card, no call.
Or talk to the Renascence team about an enterprise evaluation.
