Use Case
Compliance

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

Data Integrity: Tamper-proof records
Audit Trail: Complete decision history
Non-repudiation: Cryptographic proof
Timestamping: Immutable timestamps

Common Regulations

GDPR (Data Protection)
SOX (Financial Controls)
HIPAA (Healthcare)
PCI DSS (Payment)
ISO 27001 (Security)

Financial Services: Algorithmic Trading Compliance

Demonstrate compliance with MiFID II and algorithmic trading regulations

Financial Trading Compliance Workflow

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

Healthcare AI Compliance Workflow

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

GDPR Data Processing Compliance Workflow

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.