This comprehensive security and compliance guide covers all aspects of securing the Aurora AI framework, including enterprise-grade security practices, regulatory compliance, audit procedures, and security monitoring for all 27 integrated systems and 74 API endpoints.
# security/architecture.yaml
security_layers:
network_security:
- firewall_configuration
- ddos_protection
- ssl_tls_termination
- network_segmentation
application_security:
- authentication_authorization
- input_validation
- output_encoding
- session_management
data_security:
- encryption_at_rest
- encryption_in_transit
- data_classification
- access_controls
infrastructure_security:
- hardening_standards
- vulnerability_management
- patch_management
- monitoring_logging# security/security_policies.py
class SecurityPolicyManager:
def __init__(self):
self.policies = {
'password_policy': {
'min_length': 12,
'require_uppercase': True,
'require_lowercase': True,
'require_numbers': True,
'require_symbols': True,
'max_age_days': 90,
'history_count': 12
},
'session_policy': {
'timeout_minutes': 30,
'max_concurrent_sessions': 3,
'secure_cookies': True,
'csrf_protection': True
},
'api_security': {
'rate_limiting': True,
'requests_per_minute': 1000,
'burst_limit': 100,
'jwt_expiry': 3600,
'refresh_token_expiry': 86400
},
'data_protection': {
'encryption_algorithm': 'AES-256-GCM',
'key_rotation_days': 90,
'backup_encryption': True,
'audit_retention_days': 2555
}
}
def validate_password(self, password):
"""Validate password against security policy"""
policy = self.policies['password_policy']
validations = []
# Length validation
if len(password) < policy['min_length']:
validations.append(f"Password must be at least {policy['min_length']} characters")
# Uppercase validation
if policy['require_uppercase'] and not any(c.isupper() for c in password):
validations.append("Password must contain at least one uppercase letter")
# Lowercase validation
if policy['require_lowercase'] and not any(c.islower() for c in password):
validations.append("Password must contain at least one lowercase letter")
# Numbers validation
if policy['require_numbers'] and not any(c.isdigit() for c in password):
validations.append("Password must contain at least one number")
# Symbols validation
if policy['require_symbols'] and not any(c in '!@#$%^&*()_+-=[]{}|;:,.<>?' for c in password):
validations.append("Password must contain at least one special character")
return {
'valid': len(validations) == 0,
'validations': validations
}# security/authentication.py
import jwt
import bcrypt
from datetime import datetime, timedelta
from functools import wraps
from flask import request, jsonify, g
class AuthenticationManager:
def __init__(self, secret_key, algorithm='HS256'):
self.secret_key = secret_key
self.algorithm = algorithm
self.token_expiry = timedelta(hours=1)
self.refresh_token_expiry = timedelta(days=7)
def hash_password(self, password):
"""Hash password using bcrypt"""
salt = bcrypt.gensalt()
hashed = bcrypt.hashpw(password.encode('utf-8'), salt)
return hashed.decode('utf-8')
def verify_password(self, password, hashed):
"""Verify password against hash"""
return bcrypt.checkpw(password.encode('utf-8'), hashed.encode('utf-8'))
def generate_tokens(self, user_id, permissions):
"""Generate access and refresh tokens"""
# Access token
access_payload = {
'user_id': user_id,
'permissions': permissions,
'token_type': 'access',
'exp': datetime.utcnow() + self.token_expiry,
'iat': datetime.utcnow()
}
access_token = jwt.encode(
access_payload,
self.secret_key,
algorithm=self.algorithm
)
# Refresh token
refresh_payload = {
'user_id': user_id,
'token_type': 'refresh',
'exp': datetime.utcnow() + self.refresh_token_expiry,
'iat': datetime.utcnow()
}
refresh_token = jwt.encode(
refresh_payload,
self.secret_key,
algorithm=self.algorithm
)
return {
'access_token': access_token,
'refresh_token': refresh_token,
'expires_in': int(self.token_expiry.total_seconds())
}
def verify_token(self, token):
"""Verify JWT token"""
try:
payload = jwt.decode(
token,
self.secret_key,
algorithms=[self.algorithm]
)
return payload
except jwt.ExpiredSignatureError:
return None
except jwt.InvalidTokenError:
return None
def refresh_access_token(self, refresh_token):
"""Refresh access token using refresh token"""
payload = self.verify_token(refresh_token)
if not payload or payload.get('token_type') != 'refresh':
return None
# Get user permissions (from database or cache)
user_permissions = self.get_user_permissions(payload['user_id'])
# Generate new access token
return self.generate_tokens(payload['user_id'], user_permissions)
def require_auth(f):
"""Decorator to require authentication"""
@wraps(f)
def decorated_function(*args, **kwargs):
token = None
# Get token from Authorization header
auth_header = request.headers.get('Authorization')
if auth_header:
try:
token = auth_header.split(' ')[1]
except IndexError:
return jsonify({'error': 'Invalid token format'}), 401
# Verify token
auth_manager = AuthenticationManager(current_app.config['SECRET_KEY'])
payload = auth_manager.verify_token(token)
if not payload:
return jsonify({'error': 'Invalid or expired token'}), 401
# Store user info in Flask g
g.current_user = payload['user_id']
g.user_permissions = payload.get('permissions', [])
return f(*args, **kwargs)
return decorated_function
def require_permission(permission):
"""Decorator to require specific permission"""
def decorator(f):
@wraps(f)
@require_auth
def decorated_function(*args, **kwargs):
if permission not in g.user_permissions:
return jsonify({'error': 'Insufficient permissions'}), 403
return f(*args, **kwargs)
return decorated_function
return decorator# security/rbac.py
class RBACManager:
def __init__(self):
self.roles = {
'admin': {
'permissions': [
'system:*',
'data:*',
'models:*',
'users:*',
'security:*',
'monitoring:*'
]
},
'data_scientist': {
'permissions': [
'data:read',
'data:write',
'models:read',
'models:train',
'models:deploy',
'monitoring:read'
]
},
'analyst': {
'permissions': [
'data:read',
'models:read',
'monitoring:read',
'reports:read'
]
},
'viewer': {
'permissions': [
'data:read',
'monitoring:read',
'reports:read'
]
}
}
def get_user_permissions(self, user_id):
"""Get permissions for a user"""
# This would typically query a database
# For demonstration, returning admin permissions
return self.roles['admin']['permissions']
def check_permission(self, user_id, permission):
"""Check if user has specific permission"""
user_permissions = self.get_user_permissions(user_id)
# Check direct permission
if permission in user_permissions:
return True
# Check wildcard permissions
for perm in user_permissions:
if perm.endswith(':*'):
prefix = perm[:-2]
if permission.startswith(prefix + ':'):
return True
return False
def assign_role(self, user_id, role):
"""Assign role to user"""
if role not in self.roles:
raise ValueError(f"Unknown role: {role}")
# This would typically update a database
return True# security/encryption.py
from cryptography.fernet import Fernet
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
import os
import base64
class EncryptionManager:
def __init__(self):
self.key = self._generate_key()
self.fernet = Fernet(self.key)
def _generate_key(self):
"""Generate encryption key from environment or create new one"""
key_env = os.getenv('ENCRYPTION_KEY')
if key_env:
return base64.urlsafe_b64decode(key_env.encode())
# Generate new key
password = os.urandom(32)
salt = os.urandom(16)
kdf = PBKDF2HMAC(
algorithm=hashes.SHA256(),
length=32,
salt=salt,
iterations=100000,
)
key = base64.urlsafe_b64encode(kdf.derive(password))
return key
def encrypt_data(self, data):
"""Encrypt data"""
if isinstance(data, str):
data = data.encode('utf-8')
encrypted_data = self.fernet.encrypt(data)
return base64.urlsafe_b64encode(encrypted_data).decode('utf-8')
def decrypt_data(self, encrypted_data):
"""Decrypt data"""
if isinstance(encrypted_data, str):
encrypted_data = encrypted_data.encode('utf-8')
try:
decoded_data = base64.urlsafe_b64decode(encrypted_data)
decrypted_data = self.fernet.decrypt(decoded_data)
return decrypted_data.decode('utf-8')
except Exception as e:
raise ValueError(f"Decryption failed: {str(e)}")
def encrypt_sensitive_fields(self, data_dict, sensitive_fields):
"""Encrypt specific fields in a dictionary"""
encrypted_dict = data_dict.copy()
for field in sensitive_fields:
if field in encrypted_dict and encrypted_dict[field]:
encrypted_dict[field] = self.encrypt_data(str(encrypted_dict[field]))
return encrypted_dict
def decrypt_sensitive_fields(self, data_dict, sensitive_fields):
"""Decrypt specific fields in a dictionary"""
decrypted_dict = data_dict.copy()
for field in sensitive_fields:
if field in decrypted_dict and decrypted_dict[field]:
try:
decrypted_dict[field] = self.decrypt_data(decrypted_dict[field])
except ValueError:
# Keep original value if decryption fails
pass
return decrypted_dict# security/data_classification.py
from enum import Enum
class DataClassification(Enum):
PUBLIC = "public"
INTERNAL = "internal"
CONFIDENTIAL = "confidential"
RESTRICTED = "restricted"
class DataClassifier:
def __init__(self):
self.classification_rules = {
'user_data': {
'email': DataClassification.CONFIDENTIAL,
'phone': DataClassification.CONFIDENTIAL,
'ssn': DataClassification.RESTRICTED,
'credit_card': DataClassification.RESTRICTED,
'address': DataClassification.CONFIDENTIAL,
'name': DataClassification.INTERNAL
},
'system_data': {
'logs': DataClassification.INTERNAL,
'metrics': DataClassification.INTERNAL,
'errors': DataClassification.INTERNAL,
'config': DataClassification.INTERNAL,
'api_keys': DataClassification.RESTRICTED,
'passwords': DataClassification.RESTRICTED
},
'business_data': {
'revenue': DataClassification.CONFIDENTIAL,
'costs': DataClassification.CONFIDENTIAL,
'strategies': DataClassification.CONFIDENTIAL,
'financial_reports': DataClassification.CONFIDENTIAL
}
}
def classify_data(self, data_dict):
"""Classify data based on field names and values"""
classifications = {}
for field, value in data_dict.items():
classification = self._classify_field(field, value)
classifications[field] = classification
return classifications
def _classify_field(self, field_name, field_value):
"""Classify individual field"""
# Check field name patterns
field_lower = field_name.lower()
# Check for PII patterns
if any(pattern in field_lower for pattern in ['email', 'mail']):
return DataClassification.CONFIDENTIAL
if any(pattern in field_lower for pattern in ['phone', 'mobile', 'tel']):
return DataClassification.CONFIDENTIAL
if any(pattern in field_lower for pattern in ['ssn', 'social_security']):
return DataClassification.RESTRICTED
if any(pattern in field_lower for pattern in ['credit_card', 'cc', 'card_number']):
return DataClassification.RESTRICTED
if any(pattern in field_lower for pattern in ['password', 'pwd', 'secret', 'key']):
return DataClassification.RESTRICTED
# Check value patterns
if isinstance(field_value, str):
# Email pattern
if '@' in field_value and '.' in field_value:
return DataClassification.CONFIDENTIAL
# Phone pattern
if self._is_phone_number(field_value):
return DataClassification.CONFIDENTIAL
# SSN pattern
if self._is_ssn(field_value):
return DataClassification.RESTRICTED
# Default classification
return DataClassification.INTERNAL
def _is_phone_number(self, value):
"""Check if value looks like a phone number"""
import re
phone_pattern = re.compile(r'^\+?1?-?\.?\s?\(?=\d{3})\d{3}[-.\s]?\d{4}$')
return bool(phone_pattern.match(value))
def _is_ssn(self, value):
"""Check if value looks like SSN"""
import re
ssn_pattern = re.compile(r'^\d{3}-\d{2}-\d{4}$')
return bool(ssn_pattern.match(value))# security/security_monitoring.py
import json
import logging
from datetime import datetime
from collections import defaultdict, deque
class SecurityMonitor:
def __init__(self):
self.logger = logging.getLogger('security')
self.security_events = deque(maxlen=10000)
self.event_counts = defaultdict(int)
self.alert_thresholds = {
'failed_logins': 5,
'suspicious_requests': 10,
'data_access_violations': 1,
'privilege_escalation': 1
}
def log_security_event(self, event_type, user_id, details, severity='medium'):
"""Log security event"""
event = {
'timestamp': datetime.utcnow().isoformat(),
'event_type': event_type,
'user_id': user_id,
'details': details,
'severity': severity,
'source_ip': details.get('source_ip', 'unknown'),
'user_agent': details.get('user_agent', 'unknown')
}
# Store event
self.security_events.append(event)
self.event_counts[event_type] += 1
# Log to file
self.logger.warning(f"Security Event: {event_type} - User: {user_id} - {details}")
# Check for alerts
self._check_alert_conditions(event_type, event)
def _check_alert_conditions(self, event_type, event):
"""Check if security event should trigger alert"""
threshold = self.alert_thresholds.get(event_type, float('inf'))
if self.event_counts[event_type] >= threshold:
self._send_security_alert(event_type, event)
def _send_security_alert(self, event_type, event):
"""Send security alert"""
alert = {
'alert_type': 'SECURITY_VIOLATION',
'event_type': event_type,
'severity': 'high',
'event': event,
'event_count': self.event_counts[event_type],
'timestamp': datetime.utcnow().isoformat()
}
# Send to monitoring system
self._send_to_monitoring_system(alert)
# Send to Slack/email
self._send_notification(alert)
def _send_to_monitoring_system(self, alert):
"""Send alert to monitoring system"""
# Integration with monitoring system
pass
def _send_notification(self, alert):
"""Send notification via Slack/email"""
# Integration with notification system
pass
def get_security_report(self, hours=24):
"""Generate security report"""
cutoff_time = datetime.utcnow() - timedelta(hours=hours)
recent_events = [
event for event in self.security_events
if datetime.fromisoformat(event['timestamp']) > cutoff_time
]
report = {
'report_period': f"Last {hours} hours",
'total_events': len(recent_events),
'event_breakdown': defaultdict(int),
'severity_breakdown': defaultdict(int),
'top_events': [],
'recommendations': []
}
# Analyze events
for event in recent_events:
report['event_breakdown'][event['event_type']] += 1
report['severity_breakdown'][event['severity']] += 1
# Top events
sorted_events = sorted(
report['event_breakdown'].items(),
key=lambda x: x[1],
reverse=True
)
report['top_events'] = sorted_events[:10]
# Recommendations
if report['event_breakdown'].get('failed_logins', 0) > 10:
report['recommendations'].append(
"High number of failed logins detected - consider implementing account lockout"
)
if report['event_breakdown'].get('data_access_violations', 0) > 0:
report['recommendations'].append(
"Data access violations detected - review user permissions"
)
return report# security/intrusion_detection.py
import time
import hashlib
from collections import defaultdict
class IntrusionDetector:
def __init__(self):
self.request_patterns = defaultdict(list)
self.ip_reputations = {}
self.anomaly_thresholds = {
'requests_per_minute': 1000,
'failed_requests_per_minute': 50,
'unique_ips_per_minute': 100,
'suspicious_patterns': 5
}
def analyze_request(self, request_data):
"""Analyze request for suspicious patterns"""
ip_address = request_data.get('source_ip')
user_agent = request_data.get('user_agent', '')
endpoint = request_data.get('endpoint')
timestamp = time.time()
# Track request patterns
key = f"{ip_address}:{hashlib.md5(user_agent.encode()).hexdigest()}"
self.request_patterns[key].append({
'timestamp': timestamp,
'endpoint': endpoint,
'user_id': request_data.get('user_id'),
'status': request_data.get('status_code', 200)
})
# Clean old patterns (older than 1 hour)
cutoff_time = timestamp - 3600
self.request_patterns[key] = [
req for req in self.request_patterns[key]
if req['timestamp'] > cutoff_time
]
# Check for anomalies
anomalies = self._detect_anomalies(key, request_data)
if anomalies:
self._handle_intrusion_attempt(key, request_data, anomalies)
return anomalies
def _detect_anomalies(self, key, request_data):
"""Detect anomalous request patterns"""
anomalies = []
patterns = self.request_patterns[key]
if len(patterns) == 0:
return anomalies
# Rate limiting check
recent_requests = [
req for req in patterns
if time.time() - req['timestamp'] < 60
]
if len(recent_requests) > self.anomaly_thresholds['requests_per_minute']:
anomalies.append({
'type': 'rate_limit_exceeded',
'count': len(recent_requests),
'threshold': self.anomaly_thresholds['requests_per_minute']
})
# Failed requests check
failed_requests = [
req for req in recent_requests
if req['status'] >= 400
]
if len(failed_requests) > self.anomaly_thresholds['failed_requests_per_minute']:
anomalies.append({
'type': 'high_failure_rate',
'count': len(failed_requests),
'threshold': self.anomaly_thresholds['failed_requests_per_minute']
})
# Suspicious endpoint access
sensitive_endpoints = ['/api/users', '/api/admin', '/api/config/secrets']
sensitive_access = [
req for req in recent_requests
if req['endpoint'] in sensitive_endpoints
]
if len(sensitive_access) > self.anomaly_thresholds['suspicious_patterns']:
anomalies.append({
'type': 'sensitive_endpoint_access',
'count': len(sensitive_access),
'endpoints': list(set(req['endpoint'] for req in sensitive_access))
})
return anomalies
def _handle_intrusion_attempt(self, key, request_data, anomalies):
"""Handle detected intrusion attempt"""
ip_address = request_data.get('source_ip')
# Update IP reputation
if ip_address not in self.ip_reputations:
self.ip_reputations[ip_address] = {'score': 100, 'violations': 0}
self.ip_reputations[ip_address]['violations'] += 1
self.ip_reputations[ip_address]['score'] -= 20
# Log intrusion attempt
logging.warning(f"Intrusion attempt detected from {ip_address}: {anomalies}")
# Take action based on severity
if self.ip_reputations[ip_address]['score'] < 50:
self._block_ip(ip_address)
def _block_ip(self, ip_address):
"""Block IP address"""
# Integration with firewall or load balancer
logging.critical(f"Blocking IP address: {ip_address}")# compliance/gdpr.py
class GDPRComplianceManager:
def __init__(self):
self.data_subject_requests = []
self.consent_records = {}
self.data_processing_records = []
def record_consent(self, user_id, consent_data, purpose):
"""Record user consent"""
consent_record = {
'user_id': user_id,
'consent_given': datetime.utcnow().isoformat(),
'consent_data': consent_data,
'purpose': purpose,
'legal_basis': 'explicit_consent',
'retention_period': consent_data.get('retention_period', 2555), # 7 years in days
'withdrawn': None
}
self.consent_records[user_id] = consent_record
# Log consent record
logging.info(f"Consent recorded for user {user_id} for purpose: {purpose}")
def withdraw_consent(self, user_id):
"""Withdraw user consent"""
if user_id in self.consent_records:
self.consent_records[user_id]['withdrawn'] = datetime.utcnow().isoformat()
# Schedule data deletion
self._schedule_data_deletion(user_id)
logging.info(f"Consent withdrawn for user {user_id}")
def handle_data_subject_request(self, request_type, user_id, contact_info):
"""Handle GDPR data subject request"""
request_record = {
'request_id': f"DSR-{datetime.utcnow().strftime('%Y%m%d%H%M%S')}",
'request_type': request_type, # access, rectification, erasure, portability
'user_id': user_id,
'contact_info': contact_info,
'request_date': datetime.utcnow().isoformat(),
'status': 'received',
'response_date': None
}
self.data_subject_requests.append(request_record)
# Process request based on type
if request_type == 'access':
self._provide_data_access(user_id, request_record['request_id'])
elif request_type == 'erasure':
self._erase_user_data(user_id, request_record['request_id'])
elif request_type == 'portability':
self._provide_data_portability(user_id, request_record['request_id'])
return request_record
def _provide_data_access(self, user_id, request_id):
"""Provide data access to user"""
user_data = self._collect_user_data(user_id)
# Format data for user
accessible_data = {
'personal_data': user_data.get('personal', {}),
'usage_data': user_data.get('usage', {}),
'consent_records': self.consent_records.get(user_id, {}),
'data_retention': user_data.get('retention', {})
}
# Update request status
for request in self.data_subject_requests:
if request['request_id'] == request_id:
request['status'] = 'completed'
request['response_date'] = datetime.utcnow().isoformat()
break
logging.info(f"Data access provided for user {user_id}")
def _erase_user_data(self, user_id, request_id):
"""Erase user data (Right to be forgotten)"""
# Anonymize or delete user data
self._anonymize_user_data(user_id)
# Update consent records
if user_id in self.consent_records:
self.consent_records[user_id]['erased'] = datetime.utcnow().isoformat()
# Update request status
for request in self.data_subject_requests:
if request['request_id'] == request_id:
request['status'] = 'completed'
request['response_date'] = datetime.utcnow().isoformat()
break
logging.info(f"User data erased for user {user_id}")
def _anonymize_user_data(self, user_id):
"""Anonymize user data while preserving analytics"""
# Replace user identifiers with anonymous equivalents
# This would integrate with your database systems
pass
def generate_data_protection_impact_assessment(self):
"""Generate DPIA for new data processing"""
dpia = {
'assessment_id': f"DPIA-{datetime.utcnow().strftime('%Y%m%d%H%M%S')}",
'assessment_date': datetime.utcnow().isoformat(),
'controller': "Aurora AI Systems",
'data_processor': "Aurora AI Systems",
'purposes': [
"Machine learning model training",
"User analytics",
"System optimization"
],
'categories_of_data': [
"Personal identifiers",
"Usage patterns",
"Performance metrics"
],
'recipients': [
"Internal teams",
"Service providers"
],
'retention_period': "7 years",
'security_measures': [
"Encryption at rest and in transit",
"Access controls",
"Audit logging"
],
'rights_of_data_subjects': [
"Right to access",
"Right to rectification",
"Right to erasure",
"Right to portability",
"Right to object"
],
'legitimate_interests': [
"System improvement",
"Fraud prevention",
"Security monitoring"
]
}
return dpia# compliance/soc2.py
class SOC2ComplianceManager:
def __init__(self):
self.control_mappings = {
'access_control': {
'controls': [
'AC-1: Access Control Policy',
'AC-2: Access Control Program',
'AC-3: Access Enforcement',
'AC-4: Access Control Review'
],
'implementation': 'RBAC system with role-based permissions'
},
'system_operations': {
'controls': [
'CC-1: Change Control Policy',
'CC-2: Change Control Program',
'CC-3: Change Control Implementation',
'CC-4: Change Control Monitoring'
],
'implementation': 'CI/CD pipeline with automated testing'
},
'risk_assessment': {
'controls': [
'RA-1: Risk Assessment Policy',
'RA-2: Risk Assessment Program',
'RA-3: Risk Assessment Implementation',
'RA-4: Risk Assessment Monitoring'
],
'implementation': 'Regular security assessments and penetration testing'
}
}
def generate_soc2_report(self):
"""Generate SOC 2 Type II compliance report"""
report = {
'report_id': f"SOC2-{datetime.utcnow().strftime('%Y%m%d%H%M%S')}",
'report_period': f"{(datetime.utcnow() - timedelta(days=90)).strftime('%Y-%m-%d')} to {datetime.utcnow().strftime('%Y-%m-%d')}",
'service_organization': "Aurora AI Systems",
'criteria_reference': 'SOC 2 Type II',
'trust_services_criteria': {
'security': self._assess_security_controls(),
'availability': self._assess_availability_controls(),
'processing_integrity': self._assess_integrity_controls(),
'confidentiality': self._assess_confidentiality_controls(),
'privacy': self._assess_privacy_controls()
},
'system_description': self._describe_system_architecture(),
'control_environment': self._describe_control_environment(),
'relevant_aspects': self._identify_relevant_aspects(),
'tested_controls': self._list_tested_controls(),
'test_results': self._summarize_test_results(),
'opinion': 'Unqualified opinion'
}
return report
def _assess_security_controls(self):
"""Assess security controls"""
return {
'AC-1': {
'status': 'Implemented',
'description': 'Comprehensive access control policy established',
'evidence': 'Policy documents, access control logs'
},
'AC-2': {
'status': 'Implemented',
'description': 'Formal access control program in place',
'evidence': 'Program documentation, training records'
},
'AC-3': {
'status': 'Implemented',
'description': 'Automated access enforcement for all systems',
'evidence': 'System logs, access control configuration'
}
}
def _assess_availability_controls(self):
"""Assess availability controls"""
return {
'A-1': {
'status': 'Implemented',
'description': 'Availability objectives defined and monitored',
'evidence': 'SLA documents, monitoring dashboards'
},
'A-2': {
'status': 'Implemented',
'description': 'System availability monitoring in place',
'evidence': 'Monitoring logs, uptime reports'
}
}
def _assess_integrity_controls(self):
"""Assess processing integrity controls"""
return {
'I-1': {
'status': 'Implemented',
'description': 'Input data validation controls in place',
'evidence': 'Validation logs, data quality reports'
},
'I-2': {
'status': 'Implemented',
'description': 'Data processing integrity controls implemented',
'evidence': 'Processing logs, audit trails'
}
}
def _assess_confidentiality_controls(self):
"""Assess confidentiality controls"""
return {
'C-1': {
'status': 'Implemented',
'description': 'Data confidentiality controls established',
'evidence': 'Encryption logs, access logs'
},
'C-2': {
'status': 'Implemented',
'description': 'Data confidentiality agreements in place',
'evidence': 'Agreements, policy documents'
}
}
def _assess_privacy_controls(self):
"""Assess privacy controls"""
return {
'P-1': {
'status': 'Implemented',
'description': 'Privacy policy and notices available',
'evidence': 'Privacy policy, website notices'
},
'P-2': {
'status': 'Implemented',
'description': 'User consent management system in place',
'evidence': 'Consent logs, user interface'
}
}# security/auditing.py
class SecurityAuditor:
def __init__(self):
self.audit_findings = []
self.audit_recommendations = []
def conduct_security_audit(self):
"""Conduct comprehensive security audit"""
audit_report = {
'audit_id': f"AUDIT-{datetime.utcnow().strftime('%Y%m%d%H%M%S')}",
'audit_date': datetime.utcnow().isoformat(),
'auditor': "Security Team",
'scope': "Full System Security Assessment",
'findings': [],
'risk_assessment': {},
'recommendations': [],
'compliance_status': {}
}
# Conduct audit checks
audit_checks = [
self._audit_authentication,
self._audit_authorization,
self._audit_data_protection,
self._audit_network_security,
self._audit_infrastructure_security,
self._audit_logging_monitoring,
self._audit_incident_response
]
for check in audit_checks:
finding = check()
audit_report['findings'].append(finding)
# Generate risk assessment
audit_report['risk_assessment'] = self._assess_overall_risk(audit_report['findings'])
# Generate recommendations
audit_report['recommendations'] = self._generate_recommendations(audit_report['findings'])
# Assess compliance
audit_report['compliance_status'] = self._assess_compliance(audit_report['findings'])
return audit_report
def _audit_authentication(self):
"""Audit authentication controls"""
findings = []
# Check password policies
password_policy_check = self._check_password_policy()
findings.append(password_policy_check)
# Check MFA implementation
mfa_check = self._check_mfa_implementation()
findings.append(mfa_check)
# Check session management
session_check = self._check_session_management()
findings.append(session_check)
return {
'area': 'Authentication',
'findings': findings,
'overall_score': self._calculate_score(findings)
}
def _audit_authorization(self):
"""Audit authorization controls"""
findings = []
# Check RBAC implementation
rbac_check = self._check_rbac_implementation()
findings.append(rbac_check)
# Check privilege escalation
privilege_check = self._check_privilege_escalation()
findings.append(privilege_check)
return {
'area': 'Authorization',
'findings': findings,
'overall_score': self._calculate_score(findings)
}
def _audit_data_protection(self):
"""Audit data protection controls"""
findings = []
# Check encryption implementation
encryption_check = self._check_encryption_implementation()
findings.append(encryption_check)
# Check data classification
classification_check = self._check_data_classification()
findings.append(classification_check)
return {
'area': 'Data Protection',
'findings': findings,
'overall_score': self._calculate_score(findings)
}
def _check_password_policy(self):
"""Check password policy implementation"""
return {
'control': 'Password Policy',
'status': 'Compliant',
'details': 'Strong password policy implemented with complexity requirements',
'risk_level': 'Low',
'evidence': 'Configuration files, user interface validation'
}
def _check_mfa_implementation(self):
"""Check MFA implementation"""
return {
'control': 'Multi-Factor Authentication',
'status': 'Partially Implemented',
'details': 'MFA available for admin users but not all users',
'risk_level': 'Medium',
'evidence': 'Authentication configuration, user settings'
}
def _check_session_management(self):
"""Check session management"""
return {
'control': 'Session Management',
'status': 'Compliant',
'details': 'Secure session management with timeout and invalidation',
'risk_level': 'Low',
'evidence': 'Session configuration, security logs'
}
def _calculate_score(self, findings):
"""Calculate security score for findings"""
total_score = 0
max_score = 0
for finding in findings:
if finding['status'] == 'Compliant':
total_score += 100
elif finding['status'] == 'Partially Implemented':
total_score += 60
elif finding['status'] == 'Non-Compliant':
total_score += 0
max_score += 100
return (total_score / max_score) * 100 if max_score > 0 else 0# security/dashboard.py
class SecurityDashboard:
def __init__(self):
self.metrics_collector = SecurityMetricsCollector()
def get_security_dashboard_data(self):
"""Get security dashboard data"""
return {
'overview': self._get_security_overview(),
'threat_landscape': self._get_threat_landscape(),
'compliance_status': self._get_compliance_status(),
'security_events': self._get_recent_security_events(),
'vulnerability_status': self._get_vulnerability_status(),
'risk_assessment': self._get_risk_assessment()
}
def _get_security_overview(self):
"""Get security overview metrics"""
return {
'security_score': 92.5,
'active_threats': 3,
'blocked_attacks': 127,
'security_posture': 'Strong',
'last_assessment': '2026-05-01',
'compliance_percentage': 94.2
}
def _get_threat_landscape(self):
"""Get threat landscape data"""
return {
'top_threats': [
{
'threat_type': 'Brute Force Attack',
'count': 45,
'trend': 'Decreasing',
'severity': 'Medium'
},
{
'threat_type': 'SQL Injection',
'count': 12,
'trend': 'Stable',
'severity': 'High'
},
{
'threat_type': 'DDoS Attack',
'count': 8,
'trend': 'Increasing',
'severity': 'High'
}
],
'threat_trends': {
'overall_trend': 'Improving',
'new_threats_this_month': 23,
'resolved_threats_this_month': 31
}
}Aurora AI Security and Compliance Guide
Enterprise Security • Data Protection • Compliance • Risk Management