Anonymization of sensitive information

Questions
1

Taking into account the new regulations that govern the implementation of artificial intelligence, I would like to know if Pickaxe adopts a system for the Anonymization of sensitive information before transmission. By sensitive information I mean:
Personal Identification Data (Name and Surname Tax Code Identity Documents Addresses Telephone Email License Plates)
Financial Data (Credit Cards IBAN Current Accounts Salaries Transactions Investments)
Health Data (Medical Records Medical History Diagnosis Prescriptions Genetic Data Disabilities Allergies)
Biometric Data (Fingerprints Iris Face Voice DNA Signature)
Professional/Company Data (Contracts Evaluations Disciplinary Data Union Data Trade Secrets Intellectual Property)
Authentication Data (Password PIN Security Questions Token Credentials)
Social and Personal Data (Sexual Orientation Religion Political Opinions Ethnicity Marital Status Family Judicial Data)
Location Data (GPS Movement History Places Frequented Temporary Residences).

Of following the Data Anonymization Techniques:
Pseudonymization, Masking, Generalization, Aggregation, Randomization, K-Anonymity, Differential Privacy, Data Reduction, Encryption, Data Swapping

2

We don’t collect most of this data. Generally, all data is stored and transported in a very secure way.

If you’re wondering about a specific category, let me know and I can answer. For example with financial information, all that is handled through Stripe. They just send a signal back that says paid / not paid basically.