Regulatory Compliance & Audit
Meet regulatory requirements with immutable audit trails. Ensure your AI systems can demonstrate compliance with GDPR, SOX, HIPAA, and other regulations.
Compliance Overview
How BB-MCP addresses common regulatory and audit requirements
Regulatory Requirements
Common Regulations
Financial Services: Algorithmic Trading Compliance
Demonstrate compliance with MiFID II and algorithmic trading regulations
Trading decisions → Blockchain audit trail → Regulatory compliance
Challenge
Financial institutions need to prove their algorithmic trading systems make decisions transparently and can be audited by regulators. Every trading decision must be traceable and tamper-proof.
Implementation
import { BBMCPClient } from '@quietstack/bb-mcp';
class CompliantTradingAgent {
constructor(apiKey, agentId) {
this.bbmcp = new BBMCPClient({ apiKey });
this.agentId = agentId;
}
async executeTrade(orderRequest) {
// Create comprehensive context for audit trail
const context = {
agent_id: this.agentId,
context_data: {
task: 'algorithmic_trading_decision',
order_type: orderRequest.type,
symbol: orderRequest.symbol,
quantity: orderRequest.quantity,
decision_factors: {
market_data: this.getCurrentMarketData(orderRequest.symbol),
risk_metrics: this.calculateRiskMetrics(orderRequest),
model_prediction: this.getModelPrediction(orderRequest),
compliance_checks: this.runComplianceChecks(orderRequest)
},
decision: 'approved', // or 'rejected'
decision_confidence: 0.92,
risk_score: 0.15
},
metadata: {
regulation: 'MiFID_II',
trader_id: orderRequest.traderId,
desk: orderRequest.desk,
strategy: 'momentum_v2.1',
model_version: '1.3.2',
timestamp: new Date().toISOString(),
session_id: this.sessionId
}
};
// Log decision to blockchain BEFORE executing trade
const verification = await this.bbmcp.contexts.create(context);
if (context.context_data.decision === 'approved') {
const tradeResult = await this.executeOrder(orderRequest);
// Log execution results
await this.bbmcp.contexts.create({
agent_id: this.agentId,
context_data: {
task: 'trade_execution',
original_decision_hash: verification.context_hash,
execution_price: tradeResult.price,
filled_quantity: tradeResult.quantity,
execution_time: tradeResult.timestamp,
slippage: this.calculateSlippage(orderRequest, tradeResult)
},
metadata: {
...context.metadata,
execution_venue: tradeResult.venue,
order_id: tradeResult.orderId
}
});
return {
...tradeResult,
compliance_hash: verification.transaction_hash,
verified: true
};
}
return {
rejected: true,
reason: context.context_data.decision_factors.compliance_checks.reason,
compliance_hash: verification.transaction_hash
};
}
// Generate compliance report for regulators
async generateAuditReport(startDate, endDate) {
const contexts = await this.bbmcp.contexts.list({
agent_id: this.agentId,
from_date: startDate,
to_date: endDate,
limit: 1000
});
return {
period: { startDate, endDate },
total_decisions: contexts.items.length,
decisions_verified: contexts.items.filter(c => c.status === 'confirmed').length,
average_confidence: this.calculateAverageConfidence(contexts.items),
blockchain_hashes: contexts.items.map(c => c.transaction_hash),
audit_trail_url: `https://polygonscan.com/tx/${contexts.items[0]?.transaction_hash}`
};
}
}
Healthcare: Medical AI Compliance
Ensure medical AI systems meet HIPAA and FDA requirements
Medical AI → HIPAA compliance → FDA-ready audit trail
Challenge
Medical AI systems must maintain detailed audit trails for diagnostic decisions, ensure patient privacy, and demonstrate consistent behavior for regulatory approval.
Implementation
class HIPAACompliantDiagnosticAgent {
constructor(apiKey, agentId, facilityId) {
this.bbmcp = new BBMCPClient({ apiKey });
this.agentId = agentId;
this.facilityId = facilityId;
}
async analyzeImage(imageData, patientId, physicianId) {
// Create de-identified context for blockchain logging
const anonymizedPatientId = this.hashPatientId(patientId);
const context = {
agent_id: this.agentId,
context_data: {
task: 'medical_image_analysis',
image_characteristics: {
type: imageData.type, // 'xray', 'mri', 'ct'
body_part: imageData.bodyPart,
image_hash: this.computeImageHash(imageData.buffer),
acquisition_parameters: imageData.parameters
},
ai_analysis: {
model: 'diagnostic_ai_v2.1',
findings: this.runAnalysis(imageData),
confidence_scores: this.getConfidenceScores(),
differential_diagnosis: this.getDifferentialDiagnosis(),
recommended_followup: this.getRecommendations()
},
quality_metrics: {
image_quality_score: this.assessImageQuality(imageData),
model_certainty: this.getModelCertainty(),
flag_for_review: this.shouldFlagForReview()
}
},
metadata: {
regulation_compliance: ['HIPAA', 'FDA_510k'],
facility_id: this.facilityId,
physician_id: physicianId,
anonymized_patient_id: anonymizedPatientId,
image_acquisition_date: imageData.acquisitionDate,
analysis_timestamp: new Date().toISOString(),
model_version: '2.1.3',
calibration_date: this.getLastCalibrationDate()
}
};
// Verify context on blockchain
const verification = await this.bbmcp.contexts.create(context);
return {
findings: context.context_data.ai_analysis.findings,
confidence: context.context_data.ai_analysis.confidence_scores,
recommendations: context.context_data.ai_analysis.recommended_followup,
compliance_record: {
blockchain_hash: verification.transaction_hash,
verification_status: verification.status,
audit_trail_id: verification.context_id
}
};
}
// Generate FDA compliance report
async generateFDAReport(startDate, endDate) {
const contexts = await this.bbmcp.contexts.list({
agent_id: this.agentId,
from_date: startDate,
to_date: endDate
});
const analyses = contexts.items.filter(
c => c.context_data.task === 'medical_image_analysis'
);
return {
report_period: { startDate, endDate },
total_analyses: analyses.length,
model_performance: {
average_confidence: this.calculateAverageConfidence(analyses),
flagged_for_review: analyses.filter(
a => a.context_data.quality_metrics.flag_for_review
).length,
model_stability: this.assessModelStability(analyses)
},
compliance_verification: {
blockchain_verified: analyses.filter(a => a.status === 'confirmed').length,
audit_trail_complete: true,
data_integrity_verified: true
},
blockchain_audit_links: analyses.map(a =>
`https://polygonscan.com/tx/${a.transaction_hash}`
)
};
}
}
GDPR Data Processing Compliance
Demonstrate lawful basis and maintain audit trails for AI data processing
EU citizen data → Lawful basis + minimization → Article 30 compliance
Challenge
Organizations must prove they have lawful basis for AI processing, can demonstrate data minimization, and maintain records of processing activities for data protection authorities.
Implementation
class GDPRCompliantAIAgent {
constructor(apiKey, agentId) {
this.bbmcp = new BBMCPClient({ apiKey });
this.agentId = agentId;
}
async processPersonalData(request) {
// Validate lawful basis before processing
const lawfulBasis = await this.validateLawfulBasis(request);
if (!lawfulBasis.valid) {
throw new Error(`No lawful basis: ${lawfulBasis.reason}`);
}
const context = {
agent_id: this.agentId,
context_data: {
task: 'gdpr_compliant_processing',
processing_purpose: request.purpose,
lawful_basis: {
article: lawfulBasis.article, // e.g., "6.1.a" (consent)
description: lawfulBasis.description,
evidence: lawfulBasis.evidence_id
},
data_categories: this.classifyDataCategories(request.data),
processing_operations: [
'collection',
'analysis',
'automated_decision_making'
],
data_minimization: {
fields_processed: this.getMinimalFields(request),
fields_excluded: this.getExcludedFields(request),
retention_period: this.getRetentionPeriod(request.purpose)
},
subject_rights: {
consent_status: request.consent?.status,
opt_out_mechanism: 'available',
data_portability: 'supported',
right_to_rectification: 'supported'
}
},
metadata: {
regulation: 'GDPR',
controller: process.env.DATA_CONTROLLER_ID,
processor: this.agentId,
processing_timestamp: new Date().toISOString(),
data_subject_id: this.hashDataSubjectId(request.subjectId),
consent_version: request.consent?.version,
privacy_policy_version: process.env.PRIVACY_POLICY_VERSION
}
};
// Log processing decision to blockchain
const verification = await this.bbmcp.contexts.create(context);
// Perform the actual processing
const result = await this.executeProcessing(request);
// Log completion
await this.bbmcp.contexts.create({
agent_id: this.agentId,
context_data: {
task: 'processing_completion',
original_decision_hash: verification.context_hash,
processing_successful: true,
output_classification: this.classifyOutput(result),
automated_decision: result.isAutomatedDecision || false
},
metadata: {
...context.metadata,
completion_timestamp: new Date().toISOString()
}
});
return {
...result,
gdpr_compliance: {
blockchain_record: verification.transaction_hash,
lawful_basis: context.context_data.lawful_basis,
subject_rights_info: 'Available at /privacy/rights',
audit_trail_id: verification.context_id
}
};
}
// Generate Article 30 Record of Processing Activities
async generateArticle30Report() {
const contexts = await this.bbmcp.contexts.list({
agent_id: this.agentId,
limit: 10000 // Get all processing activities
});
const processingActivities = contexts.items.filter(
c => c.context_data.task === 'gdpr_compliant_processing'
);
return {
controller: process.env.DATA_CONTROLLER_NAME,
report_date: new Date().toISOString(),
processing_activities: processingActivities.map(activity => ({
purpose: activity.context_data.processing_purpose,
lawful_basis: activity.context_data.lawful_basis.article,
data_categories: activity.context_data.data_categories,
retention_period: activity.context_data.data_minimization.retention_period,
security_measures: 'Blockchain verification, encryption at rest',
blockchain_record: activity.transaction_hash,
processing_date: activity.timestamp
})),
audit_verification: {
total_activities: processingActivities.length,
blockchain_verified: processingActivities.filter(a => a.status === 'confirmed').length,
compliance_rate: '100%'
}
};
}
}
Compliance Benefits
How BB-MCP simplifies regulatory compliance and audit processes
For Organizations
- Automated compliance documentation
- Reduced audit preparation time
- Demonstrable data integrity
- Real-time compliance monitoring
- Lower regulatory risk
For Auditors & Regulators
- Independently verifiable records
- Tamper-proof audit trails
- Complete decision history
- Cryptographic proof of timing
- Efficient audit processes
Legal Disclaimer
BB-MCP provides technical infrastructure for compliance but does not constitute legal advice. Organizations should consult with legal and compliance professionals to ensure their specific regulatory requirements are met. Compliance requirements vary by jurisdiction and industry.