

Explanation:
Part 1 (Protocols/Ciphers):
API Gateway: TLS 1.2
* Database: AES-512
* AI Model: gRPC
Part 2 (Techniques):
1. {pin:"999-99-9999", name:"john doe"} → {pin:"999-99-9999", name:"john doe", sensitivity:"SECRET"} → Classification
2. {ip_addr:"1.2.3.4", cookie:"aK3idkd==", name:"John Doe" uid="1111"} → {cookie:"aK3idkd==", uid="1111"} → De-identification
3. {pin:"999-99-9999", name:"john doe"} → {pin:"999-99-XXXX", name:"john doe"} → Masking
4. {card_number:"1111222233334444", name:"john doe", user_id:"1"} →
{card_number:"0x019238829", name:"john doe", user_id:"1"} → Tokenization
5. {name:"john doe", patient_id:"10000", dob:"1980-Jan-05"} → {patient_id:"10000", dob:"1980- Jan-05"} → Anonymization Part 1:
* TLS 1.2 secures client-to-gateway communications.
* AES-512 provides strong encryption for data at rest in the database.
* gRPC ensures efficient, secure communication between services (AI model).
Part 2:
* Classification tags sensitive data for handling.
* De-identification strips direct identifiers.
* Masking obscures part of sensitive values while keeping format.
* Tokenization replaces sensitive data with a reversible placeholder.
* Anonymization removes identifying attributes, making re-identification impossible.
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