API Tokens: Issue, Expire, Revoke addresses a problem most SAP landscapes know too well: Speed without masking and tokens invites data incidents that erase savings.
Sensitive columns never rely on 'trust the integrator' — they rely on platform enforcement.
Sensitive columns never rely on 'trust the integrator' — they rely on platform enforcement.
Capabilities you use in iDataEngine
- Masking rule sets import/export
- Masking audit trail
- Rate limit per minute/hour
- API token login and expiry
- Certificate upload validation
- IP allow/block lists
Recommended workflow
- Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
- Save and capture the generated URL, job ID, or snapshot reference in your change record.
- Configure source objects, fields, mappings, or rules using session language and customer/system context.
- Open the relevant cockpit (iDataView Explorer, SQL Project, API Service Detail, or AccessGuard).
Real-world scenario (2021)
Payroll columns masked in SQL Transfer and omitted from API fieldset — same policy, two channels, one rule set.
Why it matters
Trust is a feature: customers integrate faster when IP lists, rate limits, and audit trails are demonstrable.
The competitive edge is not more developers; it is removing wait states between idea, data, and delivery.