How MyDatAgent ensures compliance
LGPD is lines of code, not PDF
Our AI Ecosystem was architected from day one to be secure, auditable, and sovereign. We meet LGPD not through documents — but through network, proxy, model, and governance.
Pillar 01
Zero retention · zero training
Your data never trains foundational models. What processes in the VPC stays in the VPC — guaranteed by contractual DPA and technically via LiteLLM routing.
DPALiteLLM proxyAuditable logs
Pillar 02
Datacenters in Brazil
All inference (vLLM, GPUs, databases) in BR datacenters. Data doesn't cross borders — Brazilian jurisdiction shields from CLOUD Act and meets Art. 33 of LGPD.
sa-east-1Dedicated VPCTenant isolation
Pillar 03
PII masked in real-time
Before the prompt reaches the model, our proxy applies Microsoft Presidio + DLP. CPFs, CNPJs, names, and emails are automatically masked — agent works without exposing the data subject.
Presidio30+ entitiesPre-GPU
Pillar 04
Observability & explainability
Every request, MCP tool, and agent response is logged immutably. When ANPD or customers request explanations, you have the complete audit trail.
Immutable logsSIEM exportHash chain
Pillar 05
SSO + RBAC + per-user key
AI access treated like database access. Single Sign-On + granular RBAC + unique per-user key with quotas — eliminating corporate Shadow AI once and for all.
Okta · Azure ADSAML 2.0$ Quotas
Pillar 06
Right to be forgotten & retention
Clear retention time per data type + on-demand deletion endpoint. Ready to fulfill data subject requests within 15 business days.
Retention policyAPI deleteSLA 15d