About This Architecture

Mr. Proper is a multi-subnet AWS VPC architecture that anonymizes sensitive corporate data before ingestion into AlexandrIA, TYPSA's enterprise AI platform. Data flows through five specialized subnets: Ingestión normalizes documents via Lambda, Clasificación uses Google ADK to categorize content, Anonimización applies Presidio and spaCy for PII removal, Integración y Trazabilidad logs transformations to S3 (KMS) and RDS PostgreSQL, and Deanonimización reverses masking for authorized LLM access. The design enforces least-privilege access through VPC isolation, KMS encryption, CloudWatch monitoring, and CI/CD security scanning via GitHub Actions and CodeBuild, with an on-premise air-gapped semantic firewall for additional control. Fork this diagram to customize subnet CIDR ranges, add additional classification scenarios, or adapt the anonymization pipeline for your own regulated data workflows.

People also ask

How do you design a secure AWS VPC architecture to anonymize sensitive PII before feeding data into enterprise AI platforms?

Mr. Proper demonstrates a five-subnet AWS VPC pattern: Ingestión normalizes documents, Clasificación categorizes content via Google ADK, Anonimización removes PII using Presidio and spaCy Lambda functions, Integración y Trazabilidad logs all transformations to KMS-encrypted S3 and RDS PostgreSQL, and Deanonimización reverses masking for authorized access. KMS encryption, CloudWatch monitoring, and