LGPD Compliance
Xase helps you comply with Brazil's Lei Geral de Proteção de Dados (LGPD) by providing governance controls, data access evidence, and proof of compliance for AI systems.
LGPD requirements for AI
The LGPD establishes strict requirements for organizations that use AI systems processing personal data, including:
- — Article 7 — Legal basis for data processing
- — Article 9 — Right to information and transparency
- — Article 10 — Purpose limitation and data minimization
- — Article 20 — Right to explanation for automated decisions
- — Article 46 — Security measures and data protection
- — Article 50 — Governance programs for data protection
Organizations using AI systems must be able to prove compliance with these requirements.
How Xase helps with LGPD compliance
1. Legal Basis for Processing (Art. 7)
Xase's Policy Engine ensures every data access has a valid legal basis:
{
"policy_id": "policy_lgpd_compliance",
"rules": [
{
"legal_basis": {
"type": "consent",
"verification_required": true
},
"data_categories": ["name", "email", "behavioral"],
"allowed_purposes": ["model-training", "quality-improvement"],
"retention_period": "180d"
}
]
}2. Purpose Limitation (Art. 10)
Every access session must specify and enforce a purpose:
import xase
client = xase.Client(api_key="sk_...")
# Purpose is required and enforced
session = client.access(
dataset="brazilian_customer_data",
purpose="fraud-detection", # Must match allowed purposes
duration="30d"
)3. Right to Explanation (Art. 20)
Evidence bundles contain all data needed for explanations:
# Access decision data for LGPD explanation
decision_record = client.records.get("rec_a1b2c3")
# Generate LGPD-compliant explanation
explanation = {
"data_subject_id": "user_123",
"decision_made": decision_record.output.decision,
"factors_considered": decision_record.input.factors,
"logic_used": "Decision tree with feature importance: " +
str(decision_record.explanation.feature_importance),
"human_oversight": decision_record.intervention.actor_email if decision_record.intervention else "No human review"
}
# Send explanation to data subject
client.notifications.send_explanation(
data_subject_id="user_123",
explanation=explanation,
format="pdf"
)4. Data Security (Art. 46)
Comprehensive security measures for all data access:
- — End-to-end encryption for all data in transit
- — KMS-based encryption for data at rest
- — Cryptographic access logging and verification
- — Identity-verified access control
- — Multi-factor authentication for sensitive operations
5. Governance Programs (Art. 50)
Audit trails and reports support governance programs:
# Generate LGPD governance report
lgpd_report = client.compliance.create_report(
report_type="lgpd_compliance",
start_date="2026-01-01",
end_date="2026-01-31",
include_sections=[
"legal_basis_summary",
"purpose_limitation_evidence",
"security_measures",
"data_subject_requests",
"data_access_log"
],
format="pdf"
)
# Download report for ANPD inspection
lgpd_report.download("./lgpd_compliance_report.pdf")LGPD-specific features
Data Subject Requests
Built-in handling of access, deletion, and portability requests from Brazilian data subjects, with automatic evidence of compliance.
Data Processing Records
Automatic generation of data processing records (RDPAs) required by LGPD, with complete activity logs.
DPO Support
Tools for Data Protection Officers to monitor compliance, respond to ANPD inquiries, and generate reports.
Breach Notification
Detection and documentation of potential data breaches, with notification workflows for ANPD reporting.
LGPD compliance checklist
Define legal basis for AI data use
Document the specific LGPD legal basis for each AI data processing activity
Implement purpose limitation
Use Xase's Policy Engine to enforce purpose limitation for all data access
Record all automated decisions
Capture all AI decisions with Xase's evidence system to enable explanations
Implement security measures
Use Xase's security controls to protect personal data during AI processing
Maintain governance documentation
Generate regular compliance reports using Xase's reporting tools