Compliance Management¶
Comprehensive compliance management framework for Anya Enterprise security and regulatory requirements.
Overview¶
This document outlines the compliance management processes, frameworks, and procedures for maintaining regulatory compliance across all Anya Enterprise operations.
Compliance Frameworks¶
SOC 2 Type II¶
Trust Service Criteria¶
Security
- Logical and physical access controls
- System operations and availability
- Change management processes
Availability
- System availability monitoring
- Incident response procedures
- Business continuity planning
Processing Integrity
- Data processing accuracy
- Completeness verification
- Error detection and correction
Confidentiality
- Data classification and handling
- Encryption requirements
- Access restrictions
Privacy
- Personal data protection
- Consent management
- Data subject rights
Implementation Framework¶
interface SOC2Control {
id: string;
title: string;
description: string;
category: 'security' | 'availability' | 'processing_integrity' | 'confidentiality' | 'privacy';
control_type: 'preventive' | 'detective' | 'corrective';
implementation_status: 'not_started' | 'in_progress' | 'implemented' | 'tested';
testing_frequency: 'monthly' | 'quarterly' | 'annually';
evidence_requirements: string[];
responsible_team: string;
last_tested: Date;
next_test_date: Date;
findings: string[];
remediation_items: string[];
}
class SOC2ComplianceManager {
async evaluateControl(control: SOC2Control): Promise<ControlTestResult> {
const testResults = await this.performControlTest(control);
const evidence = await this.collectEvidence(control);
return {
control_id: control.id,
test_date: new Date(),
test_result: testResults.passed ? 'passed' : 'failed',
findings: testResults.findings,
evidence_collected: evidence,
recommendations: this.generateRecommendations(testResults),
next_test_date: this.calculateNextTestDate(control.testing_frequency)
};
}
async generateSOC2Report(): Promise<SOC2Report> {
const controls = await this.getAllControls();
const testResults = [];
for (const control of controls) {
const result = await this.evaluateControl(control);
testResults.push(result);
}
return {
report_period: this.getReportPeriod(),
entity_description: await this.getEntityDescription(),
trust_service_criteria: this.analyzeTrustServiceCriteria(testResults),
control_results: testResults,
management_assertions: await this.getManagementAssertions(),
independent_auditor_report: await this.getAuditorReport(),
overall_opinion: this.determineOverallOpinion(testResults)
};
}
}
GDPR Compliance¶
Data Protection Principles¶
Lawfulness, Fairness, and Transparency
class GDPRLawfulnessCheck:
LAWFUL_BASES = [
'consent',
'contract',
'legal_obligation',
'vital_interests',
'public_task',
'legitimate_interests'
]
def validate_processing_basis(self, processing_activity: dict) -> bool:
"""Validate that processing has a lawful basis"""
return processing_activity.get('lawful_basis') in self.LAWFUL_BASES
def check_consent_requirements(self, consent_record: dict) -> dict:
"""Check if consent meets GDPR requirements"""
requirements = {
'freely_given': consent_record.get('freely_given', False),
'specific': consent_record.get('specific', False),
'informed': consent_record.get('informed', False),
'unambiguous': consent_record.get('unambiguous', False),
'withdrawable': consent_record.get('withdrawable', False)
}
return {
'valid': all(requirements.values()),
'requirements_met': requirements,
'missing_requirements': [k for k, v in requirements.items() if not v]
}
Purpose Limitation
- Processing must be for specified, explicit, and legitimate purposes
- No further processing incompatible with original purposes
- Document all processing purposes clearly
Data Minimization
- Collect only data that is adequate, relevant, and limited to what is necessary
- Regular reviews of data collection practices
- Automated data retention policies
Accuracy
interface DataAccuracyControl {
data_type: string;
accuracy_requirements: string[];
validation_rules: ValidationRule[];
correction_procedures: string[];
verification_frequency: string;
}
class DataAccuracyManager {
async validateDataAccuracy(data: PersonalData): Promise<AccuracyResult> {
const validationResults = [];
for (const field of data.fields) {
const rules = await this.getValidationRules(field.type);
const result = await this.validateField(field, rules);
validationResults.push(result);
}
return {
overall_accuracy: this.calculateAccuracyScore(validationResults),
field_results: validationResults,
required_corrections: this.identifyCorrections(validationResults),
next_verification_date: this.calculateNextVerification(data.type)
};
}
}
Storage Limitation
-- Automated data retention policies
CREATE TABLE data_retention_policies (
id UUID PRIMARY KEY,
data_category VARCHAR(100) NOT NULL,
retention_period INTERVAL NOT NULL,
deletion_method VARCHAR(50) NOT NULL,
legal_basis TEXT,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);
-- Automatic deletion function
CREATE OR REPLACE FUNCTION auto_delete_expired_data()
RETURNS void AS $$
DECLARE
policy RECORD;
BEGIN
FOR policy IN SELECT * FROM data_retention_policies LOOP
EXECUTE format('
DELETE FROM %I
WHERE created_at < NOW() - %L::INTERVAL
', policy.data_category, policy.retention_period);
-- Log deletion
INSERT INTO data_deletion_log (
policy_id, deletion_date, records_deleted
) VALUES (
policy.id, NOW(),
(SELECT ROW_COUNT())
);
END LOOP;
END;
$$ LANGUAGE plpgsql;
Data Subject Rights¶
Right of Access (Article 15)
class DataSubjectAccessHandler:
async def process_access_request(self, request: AccessRequest) -> AccessResponse:
"""Process data subject access request"""
try:
# Verify identity
identity_verified = await self.verify_identity(request.subject_id, request.verification_data)
if not identity_verified:
return AccessResponse(status='rejected', reason='identity_not_verified')
# Collect all personal data
personal_data = await self.collect_personal_data(request.subject_id)
# Include processing information
processing_info = await self.get_processing_information(request.subject_id)
# Generate response
return AccessResponse(
status='completed',
personal_data=personal_data,
processing_activities=processing_info,
data_sources=await self.get_data_sources(request.subject_id),
recipients=await self.get_data_recipients(request.subject_id),
retention_periods=await self.get_retention_periods(personal_data)
)
except Exception as e:
return AccessResponse(status='error', reason=str(e))
Right to Rectification (Article 16)
interface RectificationRequest {
subject_id: string;
incorrect_data: DataField[];
corrected_data: DataField[];
supporting_evidence: string[];
}
class DataRectificationHandler {
async processRectificationRequest(request: RectificationRequest): Promise<RectificationResponse> {
// Validate correction request
const validation = await this.validateCorrections(request);
if (!validation.valid) {
return { status: 'rejected', reason: validation.reason };
}
// Apply corrections
const corrections = [];
for (const correction of request.corrected_data) {
const result = await this.applyCorrection(
request.subject_id,
correction.field,
correction.new_value
);
corrections.push(result);
}
// Notify third parties if required
await this.notifyThirdParties(request.subject_id, corrections);
return {
status: 'completed',
corrections_applied: corrections,
notification_sent: true,
completion_date: new Date()
};
}
}
Right to Erasure (Article 17)
class DataErasureHandler:
async def process_erasure_request(self, request: ErasureRequest) -> ErasureResponse:
"""Process right to be forgotten request"""
# Check if erasure is legally required or permissible
erasure_assessment = await self.assess_erasure_grounds(request)
if not erasure_assessment.permitted:
return ErasureResponse(
status='rejected',
reason=erasure_assessment.legal_grounds_to_retain
)
# Identify all data to be erased
data_inventory = await self.identify_personal_data(request.subject_id)
# Perform secure erasure
erasure_results = []
for data_location in data_inventory:
result = await self.secure_erase_data(data_location)
erasure_results.append(result)
# Notify third parties
await self.notify_erasure_to_recipients(request.subject_id)
return ErasureResponse(
status='completed',
data_erased=erasure_results,
verification_method='cryptographic_hash_verification',
completion_certificate=await self.generate_completion_certificate()
)
PCI DSS Compliance¶
Secure Network Architecture¶
# PCI DSS Network Segmentation
network_zones:
cardholder_data_environment:
description: "Systems that store, process, or transmit cardholder data"
security_level: "highest"
access_controls:
- two_factor_authentication
- role_based_access
- privileged_access_management
monitoring:
- real_time_log_monitoring
- intrusion_detection
- file_integrity_monitoring
internal_network:
description: "Internal corporate systems"
security_level: "high"
access_controls:
- network_access_control
- endpoint_protection
dmz:
description: "Public-facing systems"
security_level: "medium"
access_controls:
- web_application_firewall
- ddos_protection
firewall_rules:
default_deny: true
allowed_connections:
- source: "web_servers"
destination: "application_servers"
ports: [443, 80]
protocol: "tcp"
- source: "application_servers"
destination: "database_servers"
ports: [5432]
protocol: "tcp"
Cardholder Data Protection¶
class CardholderDataProtection:
def __init__(self):
self.encryption_key = self.load_encryption_key()
self.tokenization_service = TokenizationService()
def protect_pan(self, pan: str) -> ProtectedPAN:
"""Protect Primary Account Number according to PCI DSS requirements"""
# Validate PAN format
if not self.validate_pan_format(pan):
raise ValueError("Invalid PAN format")
# Mask PAN for display (show only first 6 and last 4 digits)
masked_pan = self.mask_pan(pan)
# Encrypt for storage
encrypted_pan = self.encrypt_pan(pan)
# Generate token for processing
token = self.tokenization_service.tokenize(pan)
return ProtectedPAN(
masked=masked_pan,
encrypted=encrypted_pan,
token=token,
hash=self.hash_pan(pan) # For verification without decryption
)
def mask_pan(self, pan: str) -> str:
"""Mask PAN showing only first 6 and last 4 digits"""
if len(pan) < 10:
return "*" * len(pan)
return pan[:6] + "*" * (len(pan) - 10) + pan[-4:]
def encrypt_pan(self, pan: str) -> str:
"""Encrypt PAN using AES-256"""
from cryptography.fernet import Fernet
cipher = Fernet(self.encryption_key)
encrypted = cipher.encrypt(pan.encode())
return encrypted.hex()
ISO 27001 Compliance¶
Information Security Management System (ISMS)¶
interface ISMSControl {
id: string;
category: string;
subcategory: string;
title: string;
description: string;
implementation_guidance: string;
implementation_status: 'not_applicable' | 'planned' | 'implemented' | 'monitored';
risk_treatment: 'accept' | 'avoid' | 'transfer' | 'reduce';
control_effectiveness: 'low' | 'medium' | 'high';
testing_frequency: string;
responsible_role: string;
related_controls: string[];
}
class ISO27001ComplianceManager {
async performRiskAssessment(): Promise<RiskAssessmentReport> {
const assets = await this.identifyAssets();
const threats = await this.identifyThreats();
const vulnerabilities = await this.identifyVulnerabilities();
const risks = [];
for (const asset of assets) {
for (const threat of threats) {
const applicableVulns = vulnerabilities.filter(v =>
v.affects_asset_type === asset.type
);
for (const vuln of applicableVulns) {
const risk = await this.calculateRisk(asset, threat, vuln);
if (risk.level !== 'negligible') {
risks.push(risk);
}
}
}
}
return {
assessment_date: new Date(),
methodology: 'ISO 27005',
assets_assessed: assets.length,
risks_identified: risks.length,
high_risks: risks.filter(r => r.level === 'high').length,
medium_risks: risks.filter(r => r.level === 'medium').length,
low_risks: risks.filter(r => r.level === 'low').length,
risk_register: risks,
treatment_plan: await this.generateTreatmentPlan(risks)
};
}
}
Compliance Monitoring¶
Automated Compliance Checks¶
#!/usr/bin/env python3
"""
Automated Compliance Monitoring System
"""
import asyncio
import logging
from datetime import datetime, timedelta
from typing import Dict, List
class ComplianceMonitor:
def __init__(self):
self.logger = logging.getLogger(__name__)
self.compliance_rules = self.load_compliance_rules()
async def run_daily_checks(self) -> Dict:
"""Run daily compliance checks across all frameworks"""
results = {
'timestamp': datetime.now(),
'frameworks': {},
'overall_status': 'compliant',
'violations': [],
'recommendations': []
}
# SOC 2 daily checks
soc2_results = await self.check_soc2_compliance()
results['frameworks']['soc2'] = soc2_results
# GDPR daily checks
gdpr_results = await self.check_gdpr_compliance()
results['frameworks']['gdpr'] = gdpr_results
# PCI DSS daily checks
pci_results = await self.check_pci_compliance()
results['frameworks']['pci'] = pci_results
# ISO 27001 daily checks
iso_results = await self.check_iso27001_compliance()
results['frameworks']['iso27001'] = iso_results
# Aggregate results
all_violations = []
for framework, framework_results in results['frameworks'].items():
all_violations.extend(framework_results.get('violations', []))
results['violations'] = all_violations
results['overall_status'] = 'non_compliant' if all_violations else 'compliant'
# Generate recommendations
results['recommendations'] = await self.generate_recommendations(all_violations)
return results
async def check_data_retention_compliance(self) -> List[Dict]:
"""Check if data retention policies are being followed"""
violations = []
# Check for data past retention period
expired_data = await self.find_expired_data()
if expired_data:
violations.append({
'type': 'data_retention_violation',
'severity': 'high',
'description': f"Found {len(expired_data)} records past retention period",
'records': expired_data,
'remediation': 'Schedule immediate data deletion'
})
# Check consent expiration
expired_consents = await self.find_expired_consents()
if expired_consents:
violations.append({
'type': 'consent_expiration',
'severity': 'medium',
'description': f"Found {len(expired_consents)} expired consents",
'consents': expired_consents,
'remediation': 'Request consent renewal or stop processing'
})
return violations
Compliance Reporting¶
interface ComplianceReport {
report_id: string;
report_type: 'monthly' | 'quarterly' | 'annual' | 'incident';
framework: string;
reporting_period: {
start_date: Date;
end_date: Date;
};
executive_summary: string;
compliance_status: 'compliant' | 'non_compliant' | 'partially_compliant';
key_metrics: ComplianceMetric[];
violations_summary: ViolationSummary;
remediation_status: RemediationStatus[];
recommendations: string[];
next_assessment_date: Date;
}
class ComplianceReporter {
async generateMonthlyReport(framework: string): Promise<ComplianceReport> {
const period = this.getCurrentMonthPeriod();
const violations = await this.getViolations(framework, period);
const metrics = await this.calculateMetrics(framework, period);
return {
report_id: this.generateReportId(),
report_type: 'monthly',
framework,
reporting_period: period,
executive_summary: this.generateExecutiveSummary(violations, metrics),
compliance_status: this.determineComplianceStatus(violations),
key_metrics: metrics,
violations_summary: this.summarizeViolations(violations),
remediation_status: await this.getRemediationStatus(violations),
recommendations: await this.generateRecommendations(violations),
next_assessment_date: this.calculateNextAssessment(framework)
};
}
}
Audit Management¶
Internal Audits¶
class InternalAuditManager:
def __init__(self):
self.audit_schedule = self.load_audit_schedule()
self.audit_procedures = self.load_audit_procedures()
async def conduct_control_audit(self, control_id: str) -> AuditResult:
"""Conduct internal audit of a specific control"""
control = await self.get_control(control_id)
procedure = self.audit_procedures[control.category]
# Execute audit steps
test_results = []
for step in procedure.test_steps:
result = await self.execute_audit_step(step, control)
test_results.append(result)
# Evaluate evidence
evidence_evaluation = await self.evaluate_evidence(
control, test_results
)
# Determine audit opinion
opinion = self.determine_audit_opinion(test_results, evidence_evaluation)
return AuditResult(
control_id=control_id,
audit_date=datetime.now(),
auditor=self.get_current_auditor(),
test_results=test_results,
evidence_collected=evidence_evaluation.evidence_items,
findings=evidence_evaluation.findings,
opinion=opinion,
recommendations=await self.generate_audit_recommendations(
test_results, evidence_evaluation
)
)
External Audits¶
interface ExternalAuditPreparation {
audit_firm: string;
audit_scope: string[];
preparation_checklist: ChecklistItem[];
document_repository: string;
liaison_team: TeamMember[];
timeline: AuditTimeline;
}
class ExternalAuditManager {
async prepareForExternalAudit(audit_type: string): Promise<ExternalAuditPreparation> {
const scope = await this.defineAuditScope(audit_type);
const checklist = await this.generatePreparationChecklist(scope);
// Prepare audit evidence
await this.organizeAuditEvidence(scope);
// Brief liaison team
const liaisonTeam = await this.assembleLiaisonTeam(scope);
await this.briefLiaisonTeam(liaisonTeam, scope);
return {
audit_firm: this.getAuditFirm(audit_type),
audit_scope: scope,
preparation_checklist: checklist,
document_repository: await this.setupDocumentRepository(audit_type),
liaison_team: liaisonTeam,
timeline: await this.createAuditTimeline(audit_type)
};
}
}
Training and Awareness¶
Compliance Training Program¶
class ComplianceTraining:
def __init__(self):
self.training_modules = self.load_training_modules()
self.completion_tracking = CompletionTracker()
async def assign_training(self, employee_id: str, role: str) -> TrainingAssignment:
"""Assign compliance training based on employee role"""
required_modules = await self.get_required_modules(role)
assignment = TrainingAssignment(
employee_id=employee_id,
modules=required_modules,
due_date=datetime.now() + timedelta(days=30),
priority='high' if role in ['admin', 'security'] else 'medium'
)
await self.send_training_notification(assignment)
return assignment
def get_required_modules(self, role: str) -> List[str]:
"""Get required training modules for a specific role"""
base_modules = ['data_protection_basics', 'security_awareness']
role_specific = {
'developer': ['secure_coding', 'privacy_by_design'],
'admin': ['access_control', 'incident_response'],
'security': ['threat_modeling', 'forensics'],
'hr': ['employee_data_protection', 'consent_management'],
'finance': ['pci_compliance', 'financial_data_protection']
}
return base_modules + role_specific.get(role, [])
Documentation and Records¶
Record Keeping Requirements¶
-- Compliance documentation tracking
CREATE TABLE compliance_documents (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
document_type VARCHAR(100) NOT NULL,
framework VARCHAR(50) NOT NULL,
title VARCHAR(255) NOT NULL,
version VARCHAR(20) NOT NULL,
status VARCHAR(50) NOT NULL,
created_date TIMESTAMP DEFAULT NOW(),
last_review_date TIMESTAMP,
next_review_date TIMESTAMP,
retention_period INTERVAL,
responsible_role VARCHAR(100),
approval_status VARCHAR(50),
approved_by VARCHAR(100),
approval_date TIMESTAMP
);
-- Evidence repository
CREATE TABLE compliance_evidence (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
control_id VARCHAR(100) NOT NULL,
evidence_type VARCHAR(100) NOT NULL,
description TEXT,
file_path TEXT,
hash_value VARCHAR(256),
collection_date TIMESTAMP DEFAULT NOW(),
collected_by VARCHAR(100),
verification_status VARCHAR(50),
retention_date TIMESTAMP
);
See Also¶
This document is part of the Anya Enterprise Compliance Framework and should be reviewed quarterly.