""" MorphGuard Compliance Integration Integrates regulatory compliance with main application """ import asyncio import logging from datetime import datetime, timedelta from typing import Dict, Any, Optional from dataclasses import dataclass import hashlib from .regulatory_compliance import ( ComplianceOrchestrator, ProcessingLawfulBasis, DataSubjectRight ) from .privacy_protection import PrivacyProtectionSystem from .adversarial_defense import AdversarialDefenseSystem logger = logging.getLogger(__name__) @dataclass class BiometricProcessingRequest: user_id: str biometric_data: bytes operation_type: str # 'authentication', 'enrollment', 'verification' purpose: str user_jurisdiction: str quality_metrics: Dict[str, float] processing_start_time: datetime class MorphGuardComplianceManager: """ Main compliance manager that integrates all security and regulatory components """ def __init__(self): self.compliance_orchestrator = ComplianceOrchestrator() self.privacy_system = PrivacyProtectionSystem() self.adversarial_defense = AdversarialDefenseSystem() # Get reference to BIPA manager for direct biometric compliance self.bipa_manager = self.compliance_orchestrator.bipa_manager logger.info("MorphGuard Compliance Manager initialized") async def process_biometric_data_with_compliance( self, request: BiometricProcessingRequest ) -> Dict[str, Any]: """ Process biometric data with full compliance checks and logging """ processing_start = datetime.now() try: # Step 1: Adversarial Defense Check threat_detected = await self._check_adversarial_threats(request) if threat_detected['is_threat']: return { 'success': False, 'error': 'Security threat detected', 'threat_details': threat_detected, 'compliance_status': 'rejected_security' } # Step 2: Verify Compliance Prerequisites compliance_check = await self._verify_compliance_prerequisites(request) if not compliance_check['valid']: return { 'success': False, 'error': 'Compliance requirements not met', 'details': compliance_check, 'compliance_status': 'rejected_compliance' } # Step 3: Apply Privacy Protection protected_data = await self._apply_privacy_protection(request) # Step 4: Process Biometric Data (placeholder for actual processing) processing_result = await self._process_biometric_data( protected_data, request ) # Step 5: Log Processing for Compliance await self._log_compliant_processing(request, processing_result, processing_start) # Step 6: Schedule Data Lifecycle Management await self._schedule_data_lifecycle(request) return { 'success': True, 'processing_result': processing_result, 'compliance_status': 'compliant', 'privacy_measures_applied': True, 'security_verified': True, 'processing_time_ms': (datetime.now() - processing_start).total_seconds() * 1000 } except Exception as e: logger.error(f"Compliance processing failed for user {request.user_id}: {e}") return { 'success': False, 'error': str(e), 'compliance_status': 'error' } async def _check_adversarial_threats( self, request: BiometricProcessingRequest ) -> Dict[str, Any]: """Check for adversarial threats""" # Convert biometric data to format expected by adversarial defense # In real implementation, this would convert bytes to appropriate tensor format try: threat_result = self.adversarial_defense.detect_presentation_attack( request.biometric_data ) deepfake_result = self.adversarial_defense.detect_deepfake( request.biometric_data ) pixel_result = self.adversarial_defense.detect_pixel_perturbations( request.biometric_data ) is_threat = ( threat_result.get('is_attack', False) or deepfake_result.get('is_deepfake', False) or pixel_result.get('has_perturbations', False) ) return { 'is_threat': is_threat, 'presentation_attack': threat_result, 'deepfake_detection': deepfake_result, 'pixel_perturbation': pixel_result, 'overall_confidence': min( threat_result.get('confidence', 1.0), deepfake_result.get('confidence', 1.0), pixel_result.get('confidence', 1.0) ) } except Exception as e: logger.error(f"Adversarial threat detection failed: {e}") return { 'is_threat': True, # Fail secure 'error': str(e) } async def _verify_compliance_prerequisites( self, request: BiometricProcessingRequest ) -> Dict[str, Any]: """Verify all compliance prerequisites are met""" # Check BIPA compliance for Illinois users processing biometric data if request.user_jurisdiction == "IL": bipa_status = self.bipa_manager.get_bipa_compliance_status(request.user_id) if not bipa_status['compliance_summary']['has_valid_consent']: return { 'valid': False, 'reason': 'BIPA consent required for Illinois users', 'required_action': 'collect_bipa_consent', 'bipa_status': bipa_status } # Check GDPR compliance for EU users if request.user_jurisdiction in ["EU", "UK", "EEA"]: # Verify GDPR consent exists # This would check the GDPR consent records pass # Check quality metrics meet minimum standards if request.quality_metrics: min_quality = 0.7 # Minimum quality threshold overall_quality = request.quality_metrics.get('overall_quality', 0.0) if overall_quality < min_quality: return { 'valid': False, 'reason': f'Biometric quality too low: {overall_quality:.2f} < {min_quality}', 'required_action': 'recapture_biometric', 'quality_metrics': request.quality_metrics } return { 'valid': True, 'compliance_frameworks': self._get_applicable_frameworks(request.user_jurisdiction) } def _get_applicable_frameworks(self, jurisdiction: str) -> list: """Get applicable compliance frameworks for jurisdiction""" frameworks = [] if jurisdiction in ["EU", "UK", "EEA"]: frameworks.append("GDPR") if jurisdiction == "CA": frameworks.append("CCPA") if jurisdiction == "IL": frameworks.append("BIPA") # Add other frameworks as needed return frameworks async def _apply_privacy_protection( self, request: BiometricProcessingRequest ) -> bytes: """Apply privacy protection measures to biometric data""" try: # Apply differential privacy protected_data = self.privacy_system.apply_differential_privacy( request.biometric_data, epsilon=1.0, # Privacy budget delta=1e-5 ) # Apply homomorphic encryption if required if request.user_jurisdiction in ["EU", "IL"]: # Higher privacy requirements encrypted_data = self.privacy_system.encrypt_homomorphic(protected_data) return encrypted_data return protected_data except Exception as e: logger.error(f"Privacy protection failed: {e}") raise async def _process_biometric_data( self, protected_data: bytes, request: BiometricProcessingRequest ) -> Dict[str, Any]: """ Process the biometric data (placeholder for actual ML processing) In real implementation, this would call the actual biometric processing models """ processing_time = (datetime.now() - request.processing_start_time).total_seconds() * 1000 # Simulate processing result return { 'operation_successful': True, 'processing_time_ms': processing_time, 'confidence_score': 0.95, 'data_hash': hashlib.sha256(protected_data).hexdigest(), 'privacy_preserved': True } async def _log_compliant_processing( self, request: BiometricProcessingRequest, processing_result: Dict[str, Any], processing_start: datetime ): """Log the processing for compliance audit trails""" processing_time_ms = (datetime.now() - processing_start).total_seconds() * 1000 data_hash = processing_result.get('data_hash', '') # Log to appropriate compliance systems based on jurisdiction if request.user_jurisdiction == "IL": # Log to BIPA compliance system try: self.bipa_manager.log_biometric_processing( user_id=request.user_id, biometric_data_hash=data_hash, operation=request.operation_type, purpose=request.purpose, processing_time_ms=int(processing_time_ms), quality_score=request.quality_metrics.get('overall_quality'), ai_model_version="morphguard_v2.0" ) # Log quality metrics self.bipa_manager.log_biometric_quality_assessment( user_id=request.user_id, biometric_type="face_biometric", quality_metrics=request.quality_metrics ) except Exception as e: logger.error(f"BIPA logging failed: {e}") # Log to GDPR system for EU users if request.user_jurisdiction in ["EU", "UK", "EEA"]: try: self.compliance_orchestrator.gdpr_manager.record_data_processing( user_id=request.user_id, data_type="face_biometric_data", purpose=request.purpose, lawful_basis=ProcessingLawfulBasis.CONSENT, data_location="EU" ) except Exception as e: logger.error(f"GDPR logging failed: {e}") async def _schedule_data_lifecycle(self, request: BiometricProcessingRequest): """Schedule data lifecycle management (retention, deletion)""" # For BIPA users, ensure automatic deletion is scheduled if request.user_jurisdiction == "IL": try: deletions = self.bipa_manager.schedule_automatic_deletion() if deletions: logger.info(f"Scheduled {len(deletions)} BIPA deletions") except Exception as e: logger.error(f"BIPA deletion scheduling failed: {e}") # For GDPR users, run retention cleanup if request.user_jurisdiction in ["EU", "UK", "EEA"]: try: deleted_count = self.compliance_orchestrator.gdpr_manager.automated_data_retention_cleanup() if deleted_count > 0: logger.info(f"GDPR automated cleanup: {deleted_count} records deleted") except Exception as e: logger.error(f"GDPR retention cleanup failed: {e}") async def collect_user_consent( self, user_id: str, jurisdiction: str, biometric_type: str = "face_biometric", purpose: str = "authentication" ) -> Dict[str, Any]: """Collect appropriate consent based on user jurisdiction""" if jurisdiction == "IL": # Collect BIPA consent consent_result = self.bipa_manager.collect_informed_consent( user_id=user_id, biometric_type=biometric_type, purpose=purpose, retention_period=1095 # 3 years maximum for BIPA ) return { 'consent_type': 'BIPA', 'result': consent_result, 'next_step': 'acknowledge_disclosure' } elif jurisdiction in ["EU", "UK", "EEA"]: # Collect GDPR consent consent_id = self.compliance_orchestrator.gdpr_manager.record_consent( user_id=user_id, purpose=purpose, lawful_basis=ProcessingLawfulBasis.CONSENT, consent_text=f"I consent to processing my {biometric_type} for {purpose}" ) return { 'consent_type': 'GDPR', 'consent_id': consent_id, 'next_step': 'processing_authorized' } elif jurisdiction == "CA": # Handle CCPA (no explicit consent required, but transparency needed) processing_id = self.compliance_orchestrator.gdpr_manager.record_data_processing( user_id=user_id, data_type=biometric_type, purpose=purpose, lawful_basis=ProcessingLawfulBasis.LEGITIMATE_INTERESTS ) return { 'consent_type': 'CCPA_DISCLOSURE', 'processing_id': processing_id, 'next_step': 'processing_authorized' } else: # Default processing for other jurisdictions return { 'consent_type': 'STANDARD', 'next_step': 'processing_authorized' } async def handle_user_rights_request( self, user_id: str, request_type: str, jurisdiction: str ) -> Dict[str, Any]: """Handle user rights requests (access, deletion, etc.)""" return self.compliance_orchestrator.handle_user_request( user_id=user_id, request_type=request_type, jurisdiction=jurisdiction ) async def generate_compliance_dashboard_data(self) -> Dict[str, Any]: """Generate data for compliance dashboard""" comprehensive_report = self.compliance_orchestrator.generate_comprehensive_compliance_report() # Add real-time metrics current_time = datetime.now() # Get BIPA-specific metrics bipa_deletions = self.bipa_manager.schedule_automatic_deletion() dashboard_data = { 'timestamp': current_time.isoformat(), 'compliance_score': comprehensive_report['overall_compliance_score'], 'gdpr_metrics': comprehensive_report['gdpr_compliance'], 'ccpa_metrics': comprehensive_report['ccpa_compliance'], 'bipa_metrics': comprehensive_report['bipa_compliance'], 'pending_deletions': { 'bipa': len(bipa_deletions), 'gdpr': comprehensive_report['gdpr_compliance']['retention_compliance']['overdue_for_deletion'] }, 'security_metrics': { 'adversarial_defense_active': True, 'privacy_protection_active': True, 'encryption_rate': comprehensive_report['gdpr_compliance']['security_measures']['encryption_rate'] }, 'recent_activities': { 'total_processing_requests_24h': 0, # Would query from TimescaleDB 'consent_requests_24h': 0, # Would query from compliance databases 'rights_requests_24h': 0 # Would query from compliance databases } } return dashboard_data async def run_automated_compliance_maintenance(self): """Run automated compliance maintenance tasks""" logger.info("Starting automated compliance maintenance") try: # Run GDPR automated tasks self.compliance_orchestrator.run_automated_compliance_tasks() # Execute pending BIPA deletions deletions = self.bipa_manager.schedule_automatic_deletion() if deletions: deletion_ids = [d['deletion_id'] for d in deletions] results = self.bipa_manager.execute_bipa_deletions(deletion_ids) successful_deletions = sum(1 for success in results.values() if success) logger.info(f"Executed {successful_deletions}/{len(deletion_ids)} BIPA deletions") # Update privacy protection models if needed await self.privacy_system.update_privacy_parameters() # Update adversarial defense models if needed await self.adversarial_defense.update_defense_models() logger.info("Automated compliance maintenance completed successfully") except Exception as e: logger.error(f"Automated compliance maintenance failed: {e}") raise # Async wrapper for integration with Flask/FastAPI class AsyncComplianceWrapper: """Async wrapper for integration with web frameworks""" def __init__(self): self.compliance_manager = MorphGuardComplianceManager() self.loop = None def process_biometric_sync(self, request_data: Dict[str, Any]) -> Dict[str, Any]: """Synchronous wrapper for biometric processing""" request = BiometricProcessingRequest( user_id=request_data['user_id'], biometric_data=request_data['biometric_data'], operation_type=request_data['operation_type'], purpose=request_data['purpose'], user_jurisdiction=request_data['user_jurisdiction'], quality_metrics=request_data.get('quality_metrics', {}), processing_start_time=datetime.now() ) # Run in event loop if self.loop is None: self.loop = asyncio.new_event_loop() asyncio.set_event_loop(self.loop) return self.loop.run_until_complete( self.compliance_manager.process_biometric_data_with_compliance(request) ) def collect_consent_sync(self, user_id: str, jurisdiction: str, biometric_type: str = "face_biometric", purpose: str = "authentication") -> Dict[str, Any]: """Synchronous wrapper for consent collection""" if self.loop is None: self.loop = asyncio.new_event_loop() asyncio.set_event_loop(self.loop) return self.loop.run_until_complete( self.compliance_manager.collect_user_consent( user_id, jurisdiction, biometric_type, purpose ) ) def get_dashboard_data_sync(self) -> Dict[str, Any]: """Synchronous wrapper for dashboard data""" if self.loop is None: self.loop = asyncio.new_event_loop() asyncio.set_event_loop(self.loop) return self.loop.run_until_complete( self.compliance_manager.generate_compliance_dashboard_data() ) if __name__ == "__main__": # Example usage import asyncio logging.basicConfig(level=logging.INFO) async def test_compliance_integration(): manager = MorphGuardComplianceManager() # Test BIPA consent collection consent_result = await manager.collect_user_consent( user_id="test_user_il", jurisdiction="IL", biometric_type="face_biometric", purpose="authentication" ) print(f"BIPA Consent Result: {consent_result}") # Test compliance dashboard dashboard_data = await manager.generate_compliance_dashboard_data() print(f"Compliance Score: {dashboard_data['compliance_score']:.2f}") # Run maintenance await manager.run_automated_compliance_maintenance() # Run test asyncio.run(test_compliance_integration())