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Security & Compliance

Overview

JobHive implements enterprise-grade security measures and maintains compliance with major data protection regulations. The platform handles sensitive personal data, interview recordings, and proprietary company information requiring comprehensive security controls.

Security Architecture

Defense in Depth Strategy

┌─────────────────────────────────────────────────────────────┐
│                    External Threats                         │
└─────────────────┬───────────────────────────────────────────┘

┌─────────────────▼───────────────────────────────────────────┐
│         WAF & DDoS Protection (CloudFlare)                  │
└─────────────────┬───────────────────────────────────────────┘

┌─────────────────▼───────────────────────────────────────────┐
│            Load Balancer Security Groups                    │
└─────────────────┬───────────────────────────────────────────┘

┌─────────────────▼───────────────────────────────────────────┐
│         Application Security (TLS, Authentication)          │
└─────────────────┬───────────────────────────────────────────┘

┌─────────────────▼───────────────────────────────────────────┐
│              Database Encryption & Access Controls          │
└─────────────────────────────────────────────────────────────┘

Network Security

VPC Configuration

vpc_security:
  network_segmentation:
    public_subnets:
      - purpose: "Load balancer and NAT gateways"
      - access: "Internet Gateway"
      - protection: "Security groups, NACLs"
    
    private_subnets:
      - purpose: "Application servers"
      - access: "NAT Gateway only"
      - protection: "Security groups, no direct internet"
    
    database_subnets:
      - purpose: "Database instances"
      - access: "Application subnets only"
      - protection: "Database security groups"

  security_groups:
    alb_security_group:
      ingress:
        - port: 443
          protocol: tcp
          source: 0.0.0.0/0
        - port: 80
          protocol: tcp
          source: 0.0.0.0/0
      egress:
        - port: 8000
          protocol: tcp
          target: application_security_group
    
    application_security_group:
      ingress:
        - port: 8000
          protocol: tcp
          source: alb_security_group
      egress:
        - port: 5432
          protocol: tcp
          target: database_security_group
        - port: 6379
          protocol: tcp
          target: redis_security_group
    
    database_security_group:
      ingress:
        - port: 5432
          protocol: tcp
          source: application_security_group
      egress: []

Network Access Control Lists (NACLs)

# Network ACL rules for additional security layer
NETWORK_ACL_RULES = {
    'private_subnet_nacl': {
        'inbound_rules': [
            {
                'rule_number': 100,
                'protocol': 'tcp',
                'port_range': '8000-8000',
                'cidr_block': '10.0.1.0/24',  # ALB subnet
                'action': 'allow'
            },
            {
                'rule_number': 200,
                'protocol': 'tcp',
                'port_range': '1024-65535',  # Ephemeral ports
                'cidr_block': '0.0.0.0/0',
                'action': 'allow'
            }
        ],
        'outbound_rules': [
            {
                'rule_number': 100,
                'protocol': 'tcp',
                'port_range': '5432-5432',
                'cidr_block': '10.0.20.0/24',  # Database subnet
                'action': 'allow'
            },
            {
                'rule_number': 200,
                'protocol': 'tcp',
                'port_range': '443-443',
                'cidr_block': '0.0.0.0/0',
                'action': 'allow'
            }
        ]
    }
}

Application Security

Authentication & Authorization

class SecurityMiddleware:
    def __init__(self):
        self.rate_limiter = RateLimiter()
        self.jwt_validator = JWTValidator()
        
    def process_request(self, request):
        # Rate limiting
        if not self.rate_limiter.allow_request(request):
            return HttpResponse("Rate limit exceeded", status=429)
        
        # JWT validation
        if request.path.startswith('/api/'):
            if not self.jwt_validator.validate_token(request):
                return HttpResponse("Unauthorized", status=401)
        
        # CSRF protection
        if request.method in ['POST', 'PUT', 'DELETE']:
            if not self.validate_csrf_token(request):
                return HttpResponse("CSRF token invalid", status=403)
        
        return None

class JWTValidator:
    def __init__(self):
        self.secret_key = settings.JWT_SECRET_KEY
        self.algorithm = 'HS256'
        
    def validate_token(self, request):
        auth_header = request.headers.get('Authorization')
        if not auth_header or not auth_header.startswith('Bearer '):
            return False
        
        token = auth_header.split(' ')[1]
        
        try:
            payload = jwt.decode(token, self.secret_key, algorithms=[self.algorithm])
            
            # Check token expiration
            if payload.get('exp', 0) < time.time():
                return False
            
            # Attach user to request
            user_id = payload.get('user_id')
            request.user = User.objects.get(id=user_id)
            
            return True
            
        except (jwt.InvalidTokenError, User.DoesNotExist):
            return False

Input Validation & Sanitization

class SecureSerializer(serializers.ModelSerializer):
    def validate(self, data):
        # XSS protection
        for field_name, value in data.items():
            if isinstance(value, str):
                data[field_name] = bleach.clean(
                    value,
                    tags=[],  # No HTML tags allowed
                    attributes={},
                    protocols=[],
                    strip=True
                )
        
        return super().validate(data)

class InputSanitizer:
    @staticmethod
    def sanitize_sql_input(query_string):
        """Prevent SQL injection attacks."""
        # Use parameterized queries only
        # Never use string formatting for SQL
        dangerous_patterns = [
            r"(\s*(union|select|insert|update|delete|drop|exec|execute)\s+)",
            r"(\s*(-{2}|#|\/\*|\*\/)\s*)",
            r"(\s*;\s*)"
        ]
        
        for pattern in dangerous_patterns:
            if re.search(pattern, query_string, re.IGNORECASE):
                raise ValidationError("Invalid input detected")
        
        return query_string
    
    @staticmethod
    def validate_file_upload(file):
        """Validate uploaded files for security."""
        # Check file size
        if file.size > settings.MAX_UPLOAD_SIZE:
            raise ValidationError("File too large")
        
        # Check file type
        allowed_types = ['pdf', 'doc', 'docx', 'jpg', 'png']
        file_extension = file.name.split('.')[-1].lower()
        
        if file_extension not in allowed_types:
            raise ValidationError("File type not allowed")
        
        # Scan file content
        magic_mime = magic.from_buffer(file.read(1024), mime=True)
        file.seek(0)  # Reset file pointer
        
        allowed_mimes = {
            'pdf': 'application/pdf',
            'doc': 'application/msword',
            'docx': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document',
            'jpg': 'image/jpeg',
            'png': 'image/png'
        }
        
        if magic_mime not in allowed_mimes.values():
            raise ValidationError("File content does not match extension")
        
        return file

Data Encryption

Encryption at Rest

class EncryptionService:
    def __init__(self):
        self.key = settings.ENCRYPTION_KEY
        self.cipher_suite = Fernet(self.key)
        
    def encrypt_sensitive_data(self, data):
        """Encrypt sensitive data before storing in database."""
        if isinstance(data, str):
            data = data.encode('utf-8')
        
        encrypted_data = self.cipher_suite.encrypt(data)
        return base64.b64encode(encrypted_data).decode('utf-8')
    
    def decrypt_sensitive_data(self, encrypted_data):
        """Decrypt sensitive data after retrieving from database."""
        try:
            encrypted_bytes = base64.b64decode(encrypted_data.encode('utf-8'))
            decrypted_data = self.cipher_suite.decrypt(encrypted_bytes)
            return decrypted_data.decode('utf-8')
        except Exception as e:
            logger.error(f"Decryption failed: {e}")
            raise

# Database field encryption
class EncryptedTextField(models.TextField):
    def __init__(self, *args, **kwargs):
        self.encryption_service = EncryptionService()
        super().__init__(*args, **kwargs)
    
    def from_db_value(self, value, expression, connection):
        if value is None:
            return value
        return self.encryption_service.decrypt_sensitive_data(value)
    
    def to_python(self, value):
        if isinstance(value, str) or value is None:
            return value
        return self.encryption_service.decrypt_sensitive_data(value)
    
    def get_prep_value(self, value):
        if value is None:
            return value
        return self.encryption_service.encrypt_sensitive_data(value)

# Usage in models
class InterviewSession(models.Model):
    # Regular fields
    session_id = models.UUIDField(default=uuid.uuid4)
    
    # Encrypted sensitive data
    interviewer_notes = EncryptedTextField(blank=True, null=True)
    personal_feedback = EncryptedTextField(blank=True, null=True)

Encryption in Transit

# TLS Configuration
tls_security:
  minimum_version: "TLSv1.2"
  preferred_version: "TLSv1.3"
  
  cipher_suites:
    - "TLS_AES_256_GCM_SHA384"
    - "TLS_CHACHA20_POLY1305_SHA256"
    - "TLS_AES_128_GCM_SHA256"
    - "ECDHE-RSA-AES256-GCM-SHA384"
    - "ECDHE-RSA-AES128-GCM-SHA256"
  
  ssl_certificate:
    provider: "AWS Certificate Manager"
    type: "RSA-2048"
    validation: "DNS"
    auto_renewal: true
  
  hsts_configuration:
    max_age: 31536000  # 1 year
    include_subdomains: true
    preload: true

Access Control & Identity Management

Role-Based Access Control (RBAC)

class RoleBasedAccessControl:
    ROLES = {
        'candidate': {
            'permissions': [
                'view_own_interviews',
                'create_practice_sessions',
                'view_own_analytics',
                'update_own_profile'
            ]
        },
        'employer': {
            'permissions': [
                'view_company_interviews',
                'create_job_postings',
                'view_candidate_profiles',
                'access_analytics_dashboard',
                'manage_team_members'
            ]
        },
        'admin': {
            'permissions': [
                'view_all_data',
                'manage_users', 
                'access_system_metrics',
                'configure_platform_settings'
            ]
        }
    }
    
    def check_permission(self, user, permission):
        user_role = user.role
        role_permissions = self.ROLES.get(user_role, {}).get('permissions', [])
        
        return permission in role_permissions
    
    def require_permission(permission):
        def decorator(view_func):
            def wrapper(request, *args, **kwargs):
                rbac = RoleBasedAccessControl()
                
                if not rbac.check_permission(request.user, permission):
                    return HttpResponse("Forbidden", status=403)
                
                return view_func(request, *args, **kwargs)
            
            return wrapper
        return decorator

# Usage in views
@require_permission('view_company_interviews')
def company_interviews_view(request):
    # View implementation
    pass

Multi-Factor Authentication (MFA)

class MFAService:
    def __init__(self):
        self.totp = pyotp.TOTP()
        
    def enable_2fa(self, user):
        """Enable 2FA for user account."""
        secret = pyotp.random_base32()
        
        # Store encrypted secret
        user.secret_key = EncryptionService().encrypt_sensitive_data(secret)
        user.enable_2fa = True
        user.save()
        
        # Generate QR code for authenticator app
        provisioning_uri = pyotp.totp.TOTP(secret).provisioning_uri(
            name=user.email,
            issuer_name="JobHive"
        )
        
        qr_code = qrcode.make(provisioning_uri)
        
        return {
            'secret': secret,
            'qr_code': qr_code,
            'backup_codes': self.generate_backup_codes(user)
        }
    
    def verify_2fa_token(self, user, token):
        """Verify 2FA token for user."""
        if not user.enable_2fa:
            return True
        
        decrypted_secret = EncryptionService().decrypt_sensitive_data(user.secret_key)
        totp = pyotp.TOTP(decrypted_secret)
        
        # Verify token with 30-second window
        return totp.verify(token, valid_window=1)
    
    def generate_backup_codes(self, user):
        """Generate backup codes for 2FA recovery."""
        backup_codes = []
        
        for _ in range(8):
            code = ''.join(secrets.choice(string.ascii_uppercase + string.digits) for _ in range(8))
            backup_codes.append(code)
            
            # Store hashed backup codes
            BackupCode.objects.create(
                user=user,
                code_hash=hashlib.sha256(code.encode()).hexdigest(),
                used=False
            )
        
        return backup_codes

Data Protection & Privacy

GDPR Compliance

Data Processing Lawfulness

class GDPRComplianceService:
    def __init__(self):
        self.legal_bases = {
            'consent': 'User has given clear consent',
            'contract': 'Processing necessary for contract performance',
            'legal_obligation': 'Processing required by law',
            'legitimate_interests': 'Legitimate business interests'
        }
    
    def record_consent(self, user, data_type, purpose):
        """Record user consent for data processing."""
        ConsentRecord.objects.create(
            user=user,
            data_type=data_type,
            purpose=purpose,
            legal_basis='consent',
            consent_given_at=timezone.now(),
            consent_method='explicit_checkbox',
            ip_address=self.get_client_ip(request),
            user_agent=request.META.get('HTTP_USER_AGENT', '')
        )
    
    def process_data_subject_request(self, user, request_type):
        """Handle GDPR data subject requests."""
        
        if request_type == 'access':
            return self.generate_data_export(user)
        
        elif request_type == 'rectification':
            return self.provide_data_correction_form(user)
        
        elif request_type == 'erasure':
            return self.initiate_data_deletion(user)
        
        elif request_type == 'portability':
            return self.generate_portable_data_export(user)
        
        elif request_type == 'restriction':
            return self.restrict_data_processing(user)
    
    def generate_data_export(self, user):
        """Generate comprehensive data export for user."""
        user_data = {
            'personal_information': {
                'email': user.email,
                'name': f"{user.first_name} {user.last_name}",
                'registration_date': user.date_joined.isoformat(),
                'last_login': user.last_login.isoformat() if user.last_login else None
            },
            'interview_data': [],
            'usage_data': [],
            'billing_data': []
        }
        
        # Interview sessions
        for interview in user.interviewsession_set.all():
            user_data['interview_data'].append({
                'session_id': str(interview.session_id),
                'date': interview.start_time.isoformat(),
                'duration': interview.duration,
                'scores': {
                    'technical': interview.technical_accuracy,
                    'behavioral': interview.behavioral_score
                }
            })
        
        # Usage records
        for usage in user.usage_records.all():
            user_data['usage_data'].append({
                'type': usage.usage_type,
                'quantity': usage.quantity,
                'date': usage.created_at.isoformat()
            })
        
        return user_data
    
    def initiate_data_deletion(self, user):
        """Initiate GDPR-compliant data deletion."""
        # Mark for deletion (don't delete immediately for audit trail)
        DeletionRequest.objects.create(
            user=user,
            requested_at=timezone.now(),
            status='pending',
            retention_period_end=timezone.now() + timedelta(days=30)
        )
        
        # Anonymize immediately identifiable data
        user.email = f"deleted_user_{user.id}@example.com"
        user.first_name = "Deleted"
        user.last_name = "User"
        user.is_active = False
        user.save()
        
        # Schedule complete deletion after retention period
        schedule_data_deletion.apply_async(
            args=[user.id],
            eta=timezone.now() + timedelta(days=30)
        )

Data Retention Policies

class DataRetentionService:
    RETENTION_POLICIES = {
        'interview_recordings': timedelta(days=365),  # 1 year
        'user_analytics': timedelta(days=1095),       # 3 years
        'billing_records': timedelta(days=2555),      # 7 years (legal requirement)
        'audit_logs': timedelta(days=365),            # 1 year
        'error_logs': timedelta(days=90),             # 3 months
        'deleted_user_data': timedelta(days=30)       # 30 days grace period
    }
    
    def cleanup_expired_data(self):
        """Automated cleanup of expired data."""
        
        for data_type, retention_period in self.RETENTION_POLICIES.items():
            cutoff_date = timezone.now() - retention_period
            
            if data_type == 'interview_recordings':
                # Delete old video/audio files from S3
                self.cleanup_interview_recordings(cutoff_date)
            
            elif data_type == 'user_analytics':
                # Anonymize old analytics data
                self.anonymize_old_analytics(cutoff_date)
            
            elif data_type == 'audit_logs':
                # Delete old audit logs
                AuditLog.objects.filter(created_at__lt=cutoff_date).delete()
    
    def cleanup_interview_recordings(self, cutoff_date):
        """Remove old interview recordings from storage."""
        old_sessions = InterviewSession.objects.filter(
            start_time__lt=cutoff_date,
            recording_url__isnull=False
        )
        
        for session in old_sessions:
            # Delete from S3
            s3_client = boto3.client('s3')
            try:
                s3_client.delete_object(
                    Bucket=settings.AWS_STORAGE_BUCKET_NAME,
                    Key=session.recording_key
                )
                
                # Clear recording reference
                session.recording_url = None
                session.recording_key = None
                session.save()
                
            except ClientError as e:
                logger.error(f"Failed to delete recording: {e}")

CCPA Compliance

California Consumer Privacy Rights

class CCPAComplianceService:
    def handle_ccpa_request(self, user, request_type):
        """Handle CCPA consumer requests."""
        
        ccpa_request = CCPARequest.objects.create(
            user=user,
            request_type=request_type,
            status='pending',
            submitted_at=timezone.now()
        )
        
        if request_type == 'know':
            return self.provide_information_disclosure(user)
        
        elif request_type == 'delete':
            return self.process_deletion_request(user)
        
        elif request_type == 'opt_out':
            return self.opt_out_of_sale(user)
        
        return ccpa_request
    
    def provide_information_disclosure(self, user):
        """Provide CCPA-required information about data collection."""
        return {
            'categories_collected': [
                'Personal identifiers (name, email)',
                'Professional information (resume, skills)',
                'Audio/video recordings (interview sessions)',
                'Usage data (platform interactions)'
            ],
            'sources': [
                'Directly from user',
                'From user devices (cookies, logs)',
                'From third parties (OAuth providers)'
            ],
            'business_purposes': [
                'Providing interview services',
                'Improving AI algorithms',
                'Customer support',
                'Security and fraud prevention'
            ],
            'third_party_sharing': 'None - data is not sold',
            'retention_periods': dict(DataRetentionService.RETENTION_POLICIES)
        }

Security Monitoring & Incident Response

Security Information and Event Management (SIEM)

class SecurityMonitoringService:
    def __init__(self):
        self.alert_thresholds = {
            'failed_login_attempts': 5,
            'suspicious_api_calls': 10,
            'unusual_data_access': 3,
            'privilege_escalation_attempts': 1
        }
    
    def monitor_security_events(self):
        """Monitor for security events and anomalies."""
        
        # Failed login monitoring
        self.monitor_failed_logins()
        
        # API abuse detection
        self.detect_api_abuse()
        
        # Data access anomalies
        self.detect_unusual_data_access()
        
        # Privilege escalation attempts
        self.monitor_privilege_escalation()
    
    def monitor_failed_logins(self):
        """Monitor for suspicious login patterns."""
        
        # Check for repeated failed logins from same IP
        recent_failures = LoginAttempt.objects.filter(
            success=False,
            timestamp__gte=timezone.now() - timedelta(minutes=15)
        ).values('ip_address').annotate(
            failure_count=Count('id')
        ).filter(
            failure_count__gte=self.alert_thresholds['failed_login_attempts']
        )
        
        for failure_pattern in recent_failures:
            self.create_security_alert(
                alert_type='suspicious_login',
                severity='medium',
                details={
                    'ip_address': failure_pattern['ip_address'],
                    'failure_count': failure_pattern['failure_count'],
                    'time_window': '15 minutes'
                }
            )
            
            # Implement IP blocking
            self.block_ip_address(failure_pattern['ip_address'], duration=timedelta(hours=1))
    
    def create_security_alert(self, alert_type, severity, details):
        """Create security alert for investigation."""
        
        alert = SecurityAlert.objects.create(
            alert_type=alert_type,
            severity=severity,
            details=details,
            status='open',
            created_at=timezone.now()
        )
        
        # Send immediate notification for high severity
        if severity == 'high':
            self.send_security_notification(alert)
        
        return alert

class SecurityIncidentResponse:
    def __init__(self):
        self.response_team = [
            '[email protected]',
            '[email protected]',
            '[email protected]'
        ]
    
    def handle_security_incident(self, incident_type, severity, details):
        """Coordinate security incident response."""
        
        incident = SecurityIncident.objects.create(
            incident_type=incident_type,
            severity=severity,
            status='investigating',
            details=details,
            reported_at=timezone.now()
        )
        
        # Immediate response actions
        if severity == 'critical':
            self.execute_emergency_response(incident)
        
        # Notify response team
        self.notify_response_team(incident)
        
        # Begin containment procedures
        self.initiate_containment(incident)
        
        return incident
    
    def execute_emergency_response(self, incident):
        """Execute emergency response procedures."""
        
        # Potential actions based on incident type
        emergency_actions = {
            'data_breach': [
                'isolate_affected_systems',
                'preserve_forensic_evidence',
                'notify_legal_team',
                'prepare_breach_notification'
            ],
            'system_compromise': [
                'isolate_compromised_systems',
                'revoke_potentially_compromised_credentials',
                'activate_backup_systems',
                'preserve_audit_logs'
            ],
            'dos_attack': [
                'activate_ddos_mitigation',
                'scale_infrastructure',
                'block_malicious_traffic',
                'monitor_system_performance'
            ]
        }
        
        actions = emergency_actions.get(incident.incident_type, [])
        
        for action in actions:
            try:
                getattr(self, action)(incident)
                IncidentAction.objects.create(
                    incident=incident,
                    action=action,
                    status='completed',
                    executed_at=timezone.now()
                )
            except Exception as e:
                logger.error(f"Emergency action failed: {action} - {e}")

Vulnerability Management

Security Scanning & Assessment

class VulnerabilityScanner:
    def __init__(self):
        self.scan_types = ['dependency', 'code', 'infrastructure', 'configuration']
    
    def run_security_scan(self, scan_type='all'):
        """Run comprehensive security scans."""
        
        results = {}
        
        if scan_type in ['all', 'dependency']:
            results['dependency'] = self.scan_dependencies()
        
        if scan_type in ['all', 'code']:
            results['code'] = self.scan_code_vulnerabilities()
        
        if scan_type in ['all', 'infrastructure']:
            results['infrastructure'] = self.scan_infrastructure()
        
        if scan_type in ['all', 'configuration']:
            results['configuration'] = self.scan_configuration()
        
        # Generate scan report
        scan_report = VulnerabilityScanReport.objects.create(
            scan_type=scan_type,
            results=results,
            scan_date=timezone.now(),
            severity_summary=self.calculate_severity_summary(results)
        )
        
        # Alert on critical vulnerabilities
        self.process_critical_vulnerabilities(results)
        
        return scan_report
    
    def scan_dependencies(self):
        """Scan for known vulnerabilities in dependencies."""
        # Using safety for Python dependencies
        vulnerabilities = []
        
        try:
            result = subprocess.run(
                ['safety', 'check', '--json'],
                capture_output=True,
                text=True
            )
            
            if result.stdout:
                safety_results = json.loads(result.stdout)
                
                for vuln in safety_results:
                    vulnerabilities.append({
                        'package': vuln['package_name'],
                        'version': vuln['analyzed_version'],
                        'vulnerability_id': vuln['vulnerability_id'],
                        'severity': vuln.get('severity', 'unknown'),
                        'description': vuln['vulnerability']
                    })
        
        except Exception as e:
            logger.error(f"Dependency scan failed: {e}")
        
        return vulnerabilities
    
    def scan_code_vulnerabilities(self):
        """Scan code for security vulnerabilities."""
        # Using bandit for Python code scanning
        vulnerabilities = []
        
        try:
            result = subprocess.run(
                ['bandit', '-r', '.', '-f', 'json'],
                capture_output=True,
                text=True
            )
            
            if result.stdout:
                bandit_results = json.loads(result.stdout)
                
                for issue in bandit_results.get('results', []):
                    vulnerabilities.append({
                        'file': issue['filename'],
                        'line': issue['line_number'],
                        'test_id': issue['test_id'],
                        'severity': issue['issue_severity'],
                        'confidence': issue['issue_confidence'],
                        'description': issue['issue_text']
                    })
        
        except Exception as e:
            logger.error(f"Code scan failed: {e}")
        
        return vulnerabilities

Compliance Frameworks

SOC 2 Compliance 🚧 In Progress

Trust Service Criteria Implementation

class SOC2ComplianceFramework:
    def __init__(self):
        self.trust_criteria = [
            'security',
            'availability', 
            'processing_integrity',
            'confidentiality',
            'privacy'
        ]
    
    def security_controls(self):
        """Implement SOC 2 security controls."""
        return {
            'access_controls': {
                'multi_factor_authentication': 'Implemented',
                'role_based_access': 'Implemented',
                'privileged_access_management': 'Implemented',
                'access_reviews': 'Quarterly'
            },
            'system_operations': {
                'change_management': 'Formal process implemented',
                'incident_response': 'Documented procedures',
                'vulnerability_management': 'Regular scanning and patching',
                'backup_and_recovery': 'Automated daily backups'
            },
            'risk_management': {
                'risk_assessment': 'Annual comprehensive assessment',
                'risk_mitigation': 'Documented mitigation strategies',
                'vendor_management': 'Security reviews for all vendors'
            }
        }
    
    def availability_controls(self):
        """Implement SOC 2 availability controls."""
        return {
            'system_monitoring': {
                'uptime_monitoring': '24/7 automated monitoring',
                'performance_monitoring': 'Real-time metrics',
                'capacity_planning': 'Quarterly capacity reviews'
            },
            'disaster_recovery': {
                'recovery_procedures': 'Documented and tested',
                'backup_strategy': 'Multi-region backup storage',
                'rto_rpo_targets': 'RTO: 4 hours, RPO: 15 minutes'
            }
        }
    
    def generate_compliance_report(self):
        """Generate SOC 2 compliance status report."""
        
        compliance_status = {}
        
        for criterion in self.trust_criteria:
            controls = getattr(self, f'{criterion}_controls')()
            compliance_status[criterion] = {
                'status': 'compliant',
                'controls': controls,
                'last_reviewed': timezone.now().date(),
                'next_review': timezone.now().date() + timedelta(days=90)
            }
        
        return compliance_status

Industry-Specific Compliance

FERPA (Education Records)

class FERPACompliance:
    """Family Educational Rights and Privacy Act compliance for educational institutions."""
    
    def __init__(self):
        self.educational_record_types = [
            'academic_transcripts',
            'interview_assessments', 
            'skill_evaluations',
            'career_counseling_notes'
        ]
    
    def handle_educational_record(self, record_type, student_data, institution):
        """Handle educational records according to FERPA requirements."""
        
        # Verify institutional relationship
        if not self.verify_institutional_access(institution, student_data['student_id']):
            raise PermissionDenied("Institution does not have access to this student's records")
        
        # Log educational record access
        FERPAAccessLog.objects.create(
            student_id=student_data['student_id'],
            institution=institution,
            record_type=record_type,
            accessed_by=request.user,
            access_purpose='career_services',
            access_timestamp=timezone.now()
        )
        
        return self.format_educational_record(record_type, student_data)
    
    def handle_directory_information(self, student_data):
        """Handle directory information sharing according to FERPA."""
        
        # Check if student has opted out of directory information sharing
        if student_data.get('ferpa_directory_opt_out', False):
            return self.get_limited_directory_info(student_data)
        
        return self.get_full_directory_info(student_data)

Security Best Practices

Secure Development Lifecycle (SDLC)

class SecureSDLC:
    def __init__(self):
        self.security_gates = [
            'requirements_security_review',
            'design_security_review', 
            'code_security_scan',
            'penetration_testing',
            'security_acceptance_testing'
        ]
    
    def security_requirements_checklist(self):
        """Security requirements for new features."""
        return {
            'authentication': 'How will users be authenticated?',
            'authorization': 'What permissions are required?',
            'data_classification': 'What type of data will be processed?',
            'encryption': 'What data needs encryption?',
            'audit_logging': 'What events need to be logged?',
            'input_validation': 'What inputs need validation?',
            'error_handling': 'How will errors be handled securely?',
            'third_party_integrations': 'What security reviews are needed?'
        }
    
    def pre_deployment_security_checklist(self):
        """Security checklist before deployment."""
        checklist = [
            'security_scan_passed',
            'dependency_vulnerabilities_resolved',
            'secrets_properly_managed',
            'access_controls_verified',
            'encryption_properly_implemented',
            'logging_and_monitoring_configured',
            'backup_and_recovery_tested',
            'incident_response_procedures_updated'
        ]
        
        return {item: False for item in checklist}

Security Training & Awareness

class SecurityTrainingProgram:
    def __init__(self):
        self.training_modules = [
            'secure_coding_practices',
            'data_protection_fundamentals',
            'incident_response_procedures',
            'social_engineering_awareness',
            'gdpr_compliance_overview'
        ]
    
    def assign_security_training(self, employee, role):
        """Assign role-appropriate security training."""
        
        required_modules = self.get_required_modules(role)
        
        for module in required_modules:
            SecurityTrainingAssignment.objects.create(
                employee=employee,
                training_module=module,
                assigned_date=timezone.now(),
                due_date=timezone.now() + timedelta(days=30),
                status='assigned'
            )
    
    def track_training_completion(self):
        """Track and report on security training completion."""
        
        completion_stats = SecurityTrainingAssignment.objects.values(
            'training_module'
        ).annotate(
            total_assigned=Count('id'),
            completed=Count('id', filter=Q(status='completed')),
            overdue=Count('id', filter=Q(
                status='assigned',
                due_date__lt=timezone.now()
            ))
        )
        
        return completion_stats
This comprehensive security and compliance framework ensures JobHive meets enterprise security requirements while maintaining regulatory compliance across multiple jurisdictions and industries.