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Integrate a ML feature to anonymize input data provided during a flexbench test
Anonymize OUT:
For any response received from the server we target with a flexbench test, anonymize critical data (eg. names, emails, tax numbers, bank accounts, mobile numbers, phone numbers, addresses, cities, countries).
We could support 2 modes:
AUTO: let the application decide what to anonymize
MANUAL: user provides a list of rules, when matched, only then to anonymize
The anonymization feature can also be integrated in OpenAPI module (#72)
If needed we will split the work in smaller issues, keeping a reference (in comments) with this issue as a parent. For any split issue do not forget to add the labels:
gsoc24
improve-getting-started-guide
The text was updated successfully, but these errors were encountered:
Anonymize IN:
Anonymize OUT:
We could support 2 modes:
The anonymization feature can also be integrated in OpenAPI module (#72)
If needed we will split the work in smaller issues, keeping a reference (in comments) with this issue as a parent. For any split issue do not forget to add the labels:
The text was updated successfully, but these errors were encountered: