Enterprise Data Governance & Compliance

🛡️ Enterprise Data Governance Platform

The RecoAgent Enterprise Data Governance platform provides comprehensive data classification, PII/PHI detection, compliance automation, and data subject rights management for Fortune 500 organizations.

🎯 Governance Capabilities

1. Automated Data Classification

• ML-Based Classification: AI-powered data sensitivity scoring
• PII Detection: Microsoft Presidio integration for PII detection
• PHI Detection: Healthcare-specific data protection
• Sensitivity Scoring: Automated data sensitivity classification

2. Data Catalog Integration

• Alation: Alation data catalog integration
• Collibra: Collibra governance platform integration
• Azure Purview: Microsoft Purview integration
• AWS Glue: AWS Glue catalog integration

3. Compliance Automation

• GDPR: European data protection regulation automation
• CCPA: California privacy rights automation
• HIPAA: Healthcare data protection automation
• Data Residency: Geographic data location controls

4. Data Subject Rights

• Right to Access: Automated data access requests
• Right to Deletion: Automated data deletion (right to be forgotten)
• Data Portability: Automated data export for portability
• Right to Rectification: Automated data correction requests

5. Audit & Reporting

• Compliance Reporting: Automated compliance reports
• Audit Trails: Comprehensive data access audit trails
• Risk Assessment: Automated compliance risk assessment
• Data Lineage: Complete data lineage tracking

🚀 Quick Start

1. Automated Data Classification

PII Detection Setup

from recoagent.packages.governance.classification import PIIDetector

# Initialize PII detector
pii_detector = PIIDetector(
    provider="presidio",  # Microsoft Presidio
    language="en",
    entities=["PERSON", "EMAIL_ADDRESS", "PHONE_NUMBER", "CREDIT_CARD"]
)

# Detect PII in text
text = "John Doe's email is john.doe@company.com and phone is +1-555-123-4567"
pii_results = pii_detector.detect_pii(text)

print(f"PII detected: {pii_results.entities}")
print(f"Anonymized text: {pii_results.anonymized_text}")

Data Classification

from recoagent.packages.governance.classification import DataClassifier

# Initialize data classifier
classifier = DataClassifier(
    model_path="./models/data_classifier.pkl",
    sensitivity_levels=["public", "internal", "confidential", "restricted"]
)

# Classify data
data_sample = {
    "content": "Customer purchase history and payment information",
    "metadata": {"source": "ecommerce_db", "table": "transactions"}
}

classification = classifier.classify_data(data_sample)
print(f"Classification: {classification.sensitivity_level}")
print(f"Confidence: {classification.confidence}")
print(f"Tags: {classification.tags}")

2. Data Catalog Integration

Alation Integration

from recoagent.packages.governance.catalog_integrations import AlationConnector

# Initialize Alation connector
alation = AlationConnector(
    base_url="https://your-alation-instance.com",
    api_token="your_alation_api_token"
)

# Register data source
alation.register_data_source(
    name="recoagent_recommendations",
    type="database",
    connection_string="postgresql://user:pass@host:port/db",
    metadata={
        "description": "RecoAgent recommendation data",
        "owner": "data-team",
        "classification": "confidential"
    }
)

# Register table
alation.register_table(
    data_source="recoagent_recommendations",
    table_name="user_preferences",
    columns=[
        {"name": "user_id", "type": "varchar", "classification": "PII"},
        {"name": "preference", "type": "text", "classification": "confidential"},
        {"name": "created_at", "type": "timestamp", "classification": "internal"}
    ]
)

Collibra Integration

from recoagent.packages.governance.catalog_integrations import CollibraConnector

# Initialize Collibra connector
collibra = CollibraConnector(
    base_url="https://your-collibra-instance.com",
    username="your_username",
    password="your_password"
)

# Create data asset
asset = collibra.create_data_asset(
    name="RecoAgent User Data",
    description="User recommendation data",
    domain="Customer Data",
    classification="Confidential"
)

# Add data quality rules
collibra.add_data_quality_rule(
    asset_id=asset.id,
    rule_name="PII Detection",
    rule_type="PII_PRESENCE",
    threshold=0.0  # No PII allowed
)

3. GDPR Compliance Automation

GDPR Manager Setup

from recoagent.packages.governance.compliance_automation import GDPRManager

# Initialize GDPR manager
gdpr_manager = GDPRManager(
    data_retention_days=2555,  # 7 years
    consent_required=True,
    lawful_basis="legitimate_interest"
)

# Process data subject request
request = gdpr_manager.process_data_subject_request(
    request_type="access",  # access, deletion, portability, rectification
    subject_id="user123",
    requester_email="user@example.com",
    verification_token="verification_token_123"
)

print(f"Request ID: {request.id}")
print(f"Status: {request.status}")
print(f"Estimated completion: {request.estimated_completion}")

Automated Data Deletion

# Configure automated deletion
gdpr_manager.configure_automated_deletion(
    trigger_conditions=[
        "user_account_deleted",
        "consent_withdrawn",
        "retention_period_expired"
    ],
    deletion_scope="all_personal_data",
    verification_required=True
)

# Process deletion request
deletion_request = gdpr_manager.process_deletion_request(
    subject_id="user123",
    reason="account_deletion",
    verification_token="verification_token_123"
)

print(f"Deletion request ID: {deletion_request.id}")
print(f"Data sources to delete: {deletion_request.data_sources}")

4. Data Subject Rights Management

Right to Access

from recoagent.packages.governance.data_subject_rights import AccessRequestManager

# Initialize access request manager
access_manager = AccessRequestManager()

# Process access request
access_request = access_manager.process_access_request(
    subject_id="user123",
    requester_email="user@example.com",
    data_types=["personal_data", "usage_data", "preferences"],
    format="json"  # json, csv, xml
)

# Generate data export
export_data = access_manager.generate_data_export(access_request.id)
print(f"Export file: {export_data.file_path}")
print(f"Data size: {export_data.size_bytes} bytes")

Data Portability

# Process portability request
portability_request = access_manager.process_portability_request(
    subject_id="user123",
    requester_email="user@example.com",
    target_platform="competitor_platform",
    data_format="json"
)

# Generate portable data
portable_data = access_manager.generate_portable_data(portability_request.id)
print(f"Portable data: {portable_data.file_path}")

5. Compliance Reporting

Automated Compliance Reports

from recoagent.packages.governance.reporting import ComplianceReporter

# Initialize compliance reporter
reporter = ComplianceReporter()

# Generate GDPR compliance report
gdpr_report = reporter.generate_gdpr_report(
    period="2024-01-01 to 2024-12-31",
    include_metrics=True,
    include_incidents=True
)

print(f"GDPR compliance score: {gdpr_report.compliance_score}")
print(f"Data subject requests: {gdpr_report.data_subject_requests}")
print(f"Data breaches: {gdpr_report.data_breaches}")

Audit Trail Generation

# Generate audit trail
audit_trail = reporter.generate_audit_trail(
    start_date="2024-01-01",
    end_date="2024-12-31",
    data_types=["access_logs", "modification_logs", "deletion_logs"]
)

print(f"Audit events: {audit_trail.total_events}")
print(f"Data access events: {audit_trail.access_events}")
print(f"Data modification events: {audit_trail.modification_events}")

📊 Governance Features

1. Data Classification Levels

Level	Description	Access Control	Encryption	Audit
Public	Publicly available data	No restrictions	Optional	Basic
Internal	Internal company data	Employee access	Recommended	Standard
Confidential	Sensitive business data	Role-based access	Required	Enhanced
Restricted	Highly sensitive data	Strict access controls	Required	Full

2. PII Detection Capabilities

PII Type	Detection	Anonymization	Masking	Redaction
Names	✅	✅	✅	✅
Email Addresses	✅	✅	✅	✅
Phone Numbers	✅	✅	✅	✅
Credit Cards	✅	✅	✅	✅
SSN	✅	✅	✅	✅
Addresses	✅	✅	✅	✅

3. Compliance Standards

Standard	Coverage	Automation	Reporting	Audit
GDPR	✅ Complete	✅ Full	✅ Automated	✅ Full
CCPA	✅ Complete	✅ Full	✅ Automated	✅ Full
HIPAA	✅ Complete	✅ Full	✅ Automated	✅ Full
SOC 2	✅ Complete	✅ Full	✅ Automated	✅ Full

🛡️ Security & Privacy

1. Data Protection

• Encryption: Data encryption at rest and in transit
• Access Controls: Role-based access to sensitive data
• Audit Logging: Complete audit trail for data access
• Data Minimization: Collect only necessary data

2. Privacy by Design

• Privacy Impact Assessment: Automated PIA for new features
• Data Protection Impact Assessment: DPIA for high-risk processing
• Consent Management: Granular consent tracking and management
• Data Subject Rights: Automated handling of privacy rights

📚 Documentation

Data Classification

• Data Classification Overview - Automated data classification
• PII Detection - PII detection and anonymization
• PHI Detection - Healthcare data protection
• Sensitivity Scoring - Data sensitivity scoring

Data Catalog Integration

• Catalog Integration Overview - Data catalog setup
• Alation Integration - Alation data catalog
• Collibra Integration - Collibra governance
• Azure Purview - Microsoft Purview integration
• AWS Glue - AWS Glue catalog integration

Compliance Automation

• Compliance Overview - Compliance automation
• GDPR Compliance - GDPR compliance automation
• CCPA Compliance - CCPA compliance automation
• HIPAA Compliance - HIPAA compliance automation
• Data Residency - Geographic data controls

Data Subject Rights

• Data Subject Rights Overview - Privacy rights management
• Right to Access - Data access requests
• Right to Deletion - Data deletion requests
• Data Portability - Data portability requests
• Right to Rectification - Data correction requests

Audit & Reporting

• Audit Overview - Audit and reporting
• Compliance Reporting - Automated compliance reports
• Audit Trails - Data access audit trails
• Risk Assessment - Compliance risk assessment
• Data Lineage - Data lineage tracking

🎯 Next Steps

1. Assess Data Landscape: Identify and classify your data assets
2. Configure PII Detection: Set up automated PII detection and anonymization
3. Integrate Data Catalogs: Connect with your existing data governance tools
4. Implement Compliance: Set up GDPR, CCPA, and HIPAA compliance automation
5. Configure Data Subject Rights: Set up automated privacy rights handling
6. Set Up Audit Reporting: Configure compliance reporting and audit trails

---

Protect your data with enterprise-grade governance and compliance! 🛡️