This guide outlines the security measures and best practices implemented in the AI Cloud Dashboard.
graph TD
A[Client] -->|TLS 1.3| B[Load Balancer]
B -->|TLS 1.3| C[Application Server]
C -->|Encrypted| D[Database]
C -->|OAuth 2.0| E[Cloud Services]
C -->|API Keys| F[External APIs]
from src.security.auth import AuthManager
from src.security.jwt import JWTHandler
class SecurityManager:
def __init__(self):
self.auth = AuthManager()
self.jwt = JWTHandler()
async def authenticate_user(self, credentials):
"""Authenticate user credentials"""
user = await self.auth.verify_credentials(credentials)
if user:
return self.jwt.generate_token(user)
raise AuthenticationError("Invalid credentials")from src.security.rbac import RBACManager
class RBACHandler:
def __init__(self):
self.rbac = RBACManager()
def check_permission(self, user, resource, action):
"""Check if user has permission"""
return self.rbac.has_permission(
user_id=user.id,
resource=resource,
action=action
)from cryptography.fernet import Fernet
from src.security.encryption import KeyManager
class DataEncryption:
def __init__(self):
self.key_manager = KeyManager()
self.cipher_suite = Fernet(self.key_manager.get_current_key())
def encrypt_data(self, data):
"""Encrypt sensitive data"""
return self.cipher_suite.encrypt(data.encode())
def decrypt_data(self, encrypted_data):
"""Decrypt encrypted data"""
return self.cipher_suite.decrypt(encrypted_data).decode()class DataMasker:
def mask_sensitive_data(self, data, fields):
"""Mask sensitive fields in data"""
masked = data.copy()
for field in fields:
if field in masked:
masked[field] = self._apply_mask(masked[field])
return masked
def _apply_mask(self, value):
"""Apply masking to a value"""
if isinstance(value, str):
return value[:4] + '*' * (len(value) - 4)
return valuessl_context = {
'version': 'TLSv1.3',
'ciphers': [
'TLS_AES_256_GCM_SHA384',
'TLS_CHACHA20_POLY1305_SHA256'
],
'options': [
'NO_SSLv2',
'NO_SSLv3',
'NO_TLSv1',
'NO_TLSv1_1'
]
}from src.security.validation import RequestValidator
class SecurityMiddleware:
def __init__(self):
self.validator = RequestValidator()
async def validate_request(self, request):
"""Validate incoming request"""
await self.validator.validate_headers(request.headers)
await self.validator.validate_body(request.body)
await self.validator.check_csrf(request)class APIKeyManager:
def generate_api_key(self, user_id):
"""Generate new API key"""
key = self._generate_secure_key()
hashed_key = self._hash_key(key)
self._store_key(user_id, hashed_key)
return key
def validate_api_key(self, key):
"""Validate API key"""
hashed_key = self._hash_key(key)
return self._lookup_key(hashed_key)from src.security.rate_limit import RateLimiter
class APIRateLimiter:
def __init__(self):
self.limiter = RateLimiter()
async def check_rate_limit(self, api_key):
"""Check rate limit for API key"""
return await self.limiter.check_limit(
key=api_key,
limit=1000, # requests
window=3600 # seconds
)from src.security.audit import AuditLogger
class SecurityAuditor:
def __init__(self):
self.logger = AuditLogger()
async def log_security_event(self, event_type, details):
"""Log security event"""
await self.logger.log_event({
'type': event_type,
'timestamp': datetime.utcnow(),
'details': details,
'source_ip': request.remote_addr
})class ComplianceChecker:
def check_compliance(self, requirements):
"""Check compliance requirements"""
results = {}
for req in requirements:
results[req] = self._check_requirement(req)
return results
def _check_requirement(self, requirement):
"""Check specific compliance requirement"""
checkers = {
'gdpr': self._check_gdpr,
'hipaa': self._check_hipaa,
'sox': self._check_sox
}
return checkers[requirement]()class SecurityMonitor:
def __init__(self):
self.alerts = SecurityAlerts()
self.analyzer = ThreatAnalyzer()
async def monitor_security_events(self):
"""Monitor security events"""
events = await self.get_security_events()
threats = self.analyzer.analyze_events(events)
if threats:
await self.alerts.send_alert(threats)class IncidentHandler:
async def handle_incident(self, incident):
"""Handle security incident"""
await self.log_incident(incident)
await self.notify_team(incident)
await self.initiate_response(incident)
await self.track_resolution(incident)- Use strong password policies
- Implement MFA
- Regular password rotation
- Secure password recovery
- Password breach detection
- Use API keys and OAuth
- Implement rate limiting
- Validate all input
- Use HTTPS only
- Regular security audits
- Encrypt sensitive data
- Regular backups
- Access logging
- Data classification
- Retention policies
- Code security review
- Dependency scanning
- Security testing
- Secure configuration
- Documentation
- Secure infrastructure
- Network security
- Access controls
- Monitoring setup
- Backup verification
- Regular updates
- Security patches
- Audit logging
- Incident response
- Compliance checks