Architecture Patterns
Overview: Secure architectural design patterns for MCP implementations.
This guide presents proven architectural patterns that enhance security in MCP deployments. These patterns address common security challenges and provide blueprints for building secure, scalable MCP systems.
Zero Trust Architecture
Zero Trust MCP Implementation
# Zero Trust Architecture for MCP
import jwt
import time
from typing import Dict, List, Optional
from dataclasses import dataclass
@dataclass
class SecurityContext:
user_id: str
device_id: str
ip_address: str
trust_score: float
permissions: List[str]
session_id: str
class ZeroTrustMCPGateway:
def __init__(self):
self.trust_evaluator = TrustEvaluator()
self.policy_engine = PolicyEngine()
self.audit_logger = AuditLogger()
def authenticate_request(self, request: Dict) -> Optional[SecurityContext]:
"""Authenticate and evaluate trust for every request"""
# Extract credentials
token = request.get('authorization')
if not token:
return None
# Validate token
user_claims = self.validate_token(token)
if not user_claims:
return None
# Evaluate trust score
trust_score = self.trust_evaluator.evaluate_trust(
user_id=user_claims['user_id'],
device_id=request.get('device_id'),
ip_address=request.get('ip_address'),
behavioral_data=request.get('behavioral_data', {})
)
# Create security context
context = SecurityContext(
user_id=user_claims['user_id'],
device_id=request.get('device_id'),
ip_address=request.get('ip_address'),
trust_score=trust_score,
permissions=user_claims.get('permissions', []),
session_id=request.get('session_id')
)
return context
def authorize_tool_access(self, context: SecurityContext, tool_name: str, action: str) -> bool:
"""Authorize tool access based on zero trust principles"""
# Check minimum trust score
if context.trust_score < 0.7:
self.audit_logger.log_access_denied(context, tool_name, "Low trust score")
return False
# Evaluate policy
policy_result = self.policy_engine.evaluate_policy(
user_id=context.user_id,
tool_name=tool_name,
action=action,
context=context
)
if not policy_result.allowed:
self.audit_logger.log_access_denied(context, tool_name, policy_result.reason)
return False
# Additional risk assessment
if self.requires_additional_verification(context, tool_name, action):
return self.perform_additional_verification(context, tool_name, action)
self.audit_logger.log_access_granted(context, tool_name, action)
return True
def requires_additional_verification(self, context: SecurityContext, tool_name: str, action: str) -> bool:
"""Determine if additional verification is required"""
# High-risk operations
high_risk_tools = ['system_admin', 'database_admin', 'file_manager']
if tool_name in high_risk_tools:
return True
# Low trust score
if context.trust_score < 0.8:
return True
# Unusual access patterns
if self.is_unusual_access(context, tool_name, action):
return True
return False
class TrustEvaluator:
def __init__(self):
self.user_profiles = {}
self.device_profiles = {}
self.behavioral_analyzer = BehavioralAnalyzer()
def evaluate_trust(self, user_id: str, device_id: str, ip_address: str, behavioral_data: Dict) -> float:
"""Evaluate trust score based on multiple factors"""
trust_factors = []
# User reputation
user_trust = self.get_user_trust(user_id)
trust_factors.append(('user_reputation', user_trust, 0.3))
# Device trust
device_trust = self.get_device_trust(device_id)
trust_factors.append(('device_trust', device_trust, 0.2))
# Location trust
location_trust = self.get_location_trust(ip_address, user_id)
trust_factors.append(('location_trust', location_trust, 0.2))
# Behavioral analysis
behavioral_trust = self.behavioral_analyzer.analyze_behavior(behavioral_data, user_id)
trust_factors.append(('behavioral_trust', behavioral_trust, 0.3))
# Calculate weighted trust score
total_score = sum(score * weight for _, score, weight in trust_factors)
return min(max(total_score, 0.0), 1.0)
def get_user_trust(self, user_id: str) -> float:
"""Get user trust score based on history"""
profile = self.user_profiles.get(user_id, {})
# Base trust score
base_trust = profile.get('base_trust', 0.5)
# Recent activity
recent_violations = profile.get('recent_violations', 0)
violation_penalty = min(recent_violations * 0.1, 0.3)
# Account age and activity
account_age_bonus = min(profile.get('account_age_days', 0) / 365 * 0.1, 0.2)
return max(base_trust - violation_penalty + account_age_bonus, 0.0)
Policy Engine Implementation
# Policy Engine for Zero Trust
class PolicyEngine:
def __init__(self):
self.policies = {}
self.load_policies()
def evaluate_policy(self, user_id: str, tool_name: str, action: str, context: SecurityContext) -> PolicyResult:
"""Evaluate access policy"""
# Get applicable policies
policies = self.get_applicable_policies(user_id, tool_name, action)
for policy in policies:
result = self.evaluate_single_policy(policy, context)
if not result.allowed:
return result
return PolicyResult(allowed=True, reason="Policy evaluation passed")
def get_applicable_policies(self, user_id: str, tool_name: str, action: str) -> List[Dict]:
"""Get policies applicable to the request"""
applicable = []
# User-specific policies
user_policies = self.policies.get('users', {}).get(user_id, [])
applicable.extend(user_policies)
# Tool-specific policies
tool_policies = self.policies.get('tools', {}).get(tool_name, [])
applicable.extend(tool_policies)
# Action-specific policies
action_policies = self.policies.get('actions', {}).get(action, [])
applicable.extend(action_policies)
# Global policies
global_policies = self.policies.get('global', [])
applicable.extend(global_policies)
return applicable
def evaluate_single_policy(self, policy: Dict, context: SecurityContext) -> PolicyResult:
"""Evaluate a single policy"""
# Time-based restrictions
if not self.check_time_restrictions(policy, context):
return PolicyResult(allowed=False, reason="Time restriction violation")
# Location-based restrictions
if not self.check_location_restrictions(policy, context):
return PolicyResult(allowed=False, reason="Location restriction violation")
# Trust score requirements
if not self.check_trust_requirements(policy, context):
return PolicyResult(allowed=False, reason="Trust score requirement not met")
# Resource limits
if not self.check_resource_limits(policy, context):
return PolicyResult(allowed=False, reason="Resource limit exceeded")
return PolicyResult(allowed=True, reason="Policy satisfied")
def check_time_restrictions(self, policy: Dict, context: SecurityContext) -> bool:
"""Check time-based access restrictions"""
time_restrictions = policy.get('time_restrictions')
if not time_restrictions:
return True
current_time = time.time()
current_hour = time.localtime(current_time).tm_hour
allowed_hours = time_restrictions.get('allowed_hours', list(range(24)))
if current_hour not in allowed_hours:
return False
# Check specific time windows
time_windows = time_restrictions.get('time_windows', [])
if time_windows:
for window in time_windows:
if self.is_time_in_window(current_time, window):
return True
return False
return True
def check_location_restrictions(self, policy: Dict, context: SecurityContext) -> bool:
"""Check location-based access restrictions"""
location_restrictions = policy.get('location_restrictions')
if not location_restrictions:
return True
# IP whitelist
ip_whitelist = location_restrictions.get('ip_whitelist', [])
if ip_whitelist and context.ip_address not in ip_whitelist:
return False
# IP blacklist
ip_blacklist = location_restrictions.get('ip_blacklist', [])
if context.ip_address in ip_blacklist:
return False
# Geographic restrictions
geo_restrictions = location_restrictions.get('countries')
if geo_restrictions:
user_country = self.get_country_from_ip(context.ip_address)
if user_country not in geo_restrictions:
return False
return True
Microservices Security Pattern
Secure Service Mesh Architecture
# Secure Microservices Architecture for MCP
class SecureMCPServiceMesh:
def __init__(self):
self.service_registry = ServiceRegistry()
self.tls_manager = TLSManager()
self.circuit_breaker = CircuitBreaker()
self.rate_limiter = RateLimiter()
def setup_service_mesh(self, services: List[Dict]):
"""Setup secure service mesh for MCP services"""
for service in services:
# Register service
self.service_registry.register_service(service)
# Setup mTLS
self.setup_mtls_for_service(service)
# Configure security policies
self.configure_service_policies(service)
# Setup monitoring
self.setup_service_monitoring(service)
def setup_mtls_for_service(self, service: Dict):
"""Setup mutual TLS for service communication"""
service_name = service['name']
# Generate service certificate
cert, key = self.tls_manager.generate_service_certificate(service_name)
# Configure TLS context
tls_config = {
'cert': cert,
'key': key,
'ca_cert': self.tls_manager.get_ca_cert(),
'verify_mode': 'REQUIRED',
'ciphers': 'ECDHE+AESGCM:ECDHE+CHACHA20:DHE+AESGCM:DHE+CHACHA20:!aNULL:!MD5:!DSS'
}
service['tls_config'] = tls_config
def configure_service_policies(self, service: Dict):
"""Configure security policies for service"""
service_name = service['name']
# Network policies
network_policy = {
'ingress': self.get_ingress_rules(service),
'egress': self.get_egress_rules(service)
}
# Rate limiting
rate_limit_policy = {
'requests_per_second': service.get('rate_limit', 100),
'burst_size': service.get('burst_size', 200)
}
# Circuit breaker
circuit_breaker_policy = {
'failure_threshold': 5,
'recovery_timeout': 60,
'timeout': 30
}
service['security_policies'] = {
'network': network_policy,
'rate_limit': rate_limit_policy,
'circuit_breaker': circuit_breaker_policy
}
def handle_service_request(self, source_service: str, target_service: str, request: Dict) -> Dict:
"""Handle inter-service request with security controls"""
# Validate service identity
if not self.validate_service_identity(source_service):
return {'error': 'Invalid service identity'}
# Check service policies
if not self.check_service_policies(source_service, target_service, request):
return {'error': 'Policy violation'}
# Apply rate limiting
if not self.rate_limiter.allow_request(source_service, target_service):
return {'error': 'Rate limit exceeded'}
# Check circuit breaker
if not self.circuit_breaker.is_closed(target_service):
return {'error': 'Service unavailable'}
try:
# Forward request
response = self.forward_request(target_service, request)
# Record success
self.circuit_breaker.record_success(target_service)
return response
except Exception as e:
# Record failure
self.circuit_breaker.record_failure(target_service)
return {'error': f'Service error: {str(e)}'}
API Gateway Pattern
# API Gateway Pattern for MCP
class MCPAPIGateway:
def __init__(self):
self.auth_service = AuthenticationService()
self.authorization_service = AuthorizationService()
self.rate_limiter = RateLimiter()
self.request_validator = RequestValidator()
self.response_filter = ResponseFilter()
def handle_request(self, request: Dict) -> Dict:
"""Handle API request through gateway"""
# Request validation
validation_result = self.request_validator.validate(request)
if not validation_result.valid:
return {'error': validation_result.error, 'status': 400}
# Authentication
auth_result = self.auth_service.authenticate(request)
if not auth_result.authenticated:
return {'error': 'Authentication failed', 'status': 401}
# Authorization
authz_result = self.authorization_service.authorize(
auth_result.user,
request.get('endpoint'),
request.get('method')
)
if not authz_result.authorized:
return {'error': 'Authorization failed', 'status': 403}
# Rate limiting
if not self.rate_limiter.allow_request(auth_result.user.id, request.get('endpoint')):
return {'error': 'Rate limit exceeded', 'status': 429}
# Route to backend service
backend_response = self.route_to_backend(request, auth_result.user)
# Filter response
filtered_response = self.response_filter.filter_response(
backend_response,
auth_result.user
)
return filtered_response
def route_to_backend(self, request: Dict, user: User) -> Dict:
"""Route request to appropriate backend service"""
endpoint = request.get('endpoint')
# Determine target service
target_service = self.get_target_service(endpoint)
# Add security headers
request['headers'] = request.get('headers', {})
request['headers']['X-User-ID'] = user.id
request['headers']['X-User-Roles'] = ','.join(user.roles)
request['headers']['X-Request-ID'] = self.generate_request_id()
# Forward to backend
return self.forward_to_service(target_service, request)
def get_target_service(self, endpoint: str) -> str:
"""Determine target service based on endpoint"""
service_mapping = {
'/api/tools': 'tool-service',
'/api/auth': 'auth-service',
'/api/users': 'user-service',
'/api/admin': 'admin-service'
}
for pattern, service in service_mapping.items():
if endpoint.startswith(pattern):
return service
return 'default-service'
Defense in Depth Pattern
Layered Security Architecture
# Defense in Depth Architecture
class DefenseInDepthMCP:
def __init__(self):
self.layers = [
NetworkSecurityLayer(),
APIGatewayLayer(),
AuthenticationLayer(),
AuthorizationLayer(),
ApplicationSecurityLayer(),
DataSecurityLayer(),
AuditLayer()
]
def process_request(self, request: Dict) -> Dict:
"""Process request through all security layers"""
context = SecurityContext()
for layer in self.layers:
# Process request through layer
result = layer.process(request, context)
if not result.allowed:
# Log security violation
self.log_security_violation(layer, request, result.reason)
# Return appropriate error
return {
'error': 'Security violation',
'layer': layer.name,
'reason': result.reason,
'status': result.status_code
}
# Update security context
context.update(result.context_updates)
# All layers passed, process request
return self.process_authorized_request(request, context)
def log_security_violation(self, layer: SecurityLayer, request: Dict, reason: str):
"""Log security violation for analysis"""
log_entry = {
'timestamp': time.time(),
'layer': layer.name,
'request': self.sanitize_request_for_logging(request),
'reason': reason,
'severity': layer.violation_severity
}
self.security_logger.log_violation(log_entry)
# Trigger alerts for high-severity violations
if layer.violation_severity == 'HIGH':
self.alert_system.send_alert(log_entry)
class NetworkSecurityLayer(SecurityLayer):
def __init__(self):
self.name = "Network Security"
self.violation_severity = "MEDIUM"
self.firewall = NetworkFirewall()
self.ddos_protection = DDoSProtection()
def process(self, request: Dict, context: SecurityContext) -> LayerResult:
"""Process request through network security layer"""
source_ip = request.get('source_ip')
# Check IP reputation
if not self.check_ip_reputation(source_ip):
return LayerResult(
allowed=False,
reason=f"Source IP {source_ip} has bad reputation",
status_code=403
)
# Check firewall rules
if not self.firewall.allow_connection(source_ip, request.get('destination_port')):
return LayerResult(
allowed=False,
reason="Firewall rule violation",
status_code=403
)
# Check DDoS protection
if not self.ddos_protection.allow_request(source_ip):
return LayerResult(
allowed=False,
reason="DDoS protection triggered",
status_code=429
)
return LayerResult(
allowed=True,
context_updates={'source_ip_validated': True}
)
class ApplicationSecurityLayer(SecurityLayer):
def __init__(self):
self.name = "Application Security"
self.violation_severity = "HIGH"
self.waf = WebApplicationFirewall()
self.input_validator = InputValidator()
def process(self, request: Dict, context: SecurityContext) -> LayerResult:
"""Process request through application security layer"""
# Web Application Firewall
waf_result = self.waf.analyze_request(request)
if not waf_result.allowed:
return LayerResult(
allowed=False,
reason=f"WAF violation: {waf_result.rule_triggered}",
status_code=403
)
# Input validation
validation_result = self.input_validator.validate_all_inputs(request)
if not validation_result.valid:
return LayerResult(
allowed=False,
reason=f"Input validation failed: {validation_result.error}",
status_code=400
)
# Check for common attack patterns
if self.detect_attack_patterns(request):
return LayerResult(
allowed=False,
reason="Attack pattern detected",
status_code=403
)
return LayerResult(
allowed=True,
context_updates={'application_security_passed': True}
)
Event-Driven Security Pattern
Security Event Processing
# Event-Driven Security Architecture
class SecurityEventProcessor:
def __init__(self):
self.event_queue = EventQueue()
self.event_handlers = {}
self.threat_detector = ThreatDetector()
self.response_orchestrator = ResponseOrchestrator()
def register_event_handler(self, event_type: str, handler: callable):
"""Register handler for specific event type"""
if event_type not in self.event_handlers:
self.event_handlers[event_type] = []
self.event_handlers[event_type].append(handler)
def process_security_event(self, event: SecurityEvent):
"""Process security event through registered handlers"""
# Enrich event with context
enriched_event = self.enrich_event(event)
# Detect threats
threat_analysis = self.threat_detector.analyze_event(enriched_event)
# Execute handlers
for handler in self.event_handlers.get(event.type, []):
try:
handler(enriched_event, threat_analysis)
except Exception as e:
self.log_handler_error(handler, event, e)
# Orchestrate response if threat detected
if threat_analysis.threat_detected:
self.response_orchestrator.orchestrate_response(
enriched_event,
threat_analysis
)
def enrich_event(self, event: SecurityEvent) -> SecurityEvent:
"""Enrich event with additional context"""
# Add user context
if event.user_id:
event.user_context = self.get_user_context(event.user_id)
# Add device context
if event.device_id:
event.device_context = self.get_device_context(event.device_id)
# Add network context
if event.source_ip:
event.network_context = self.get_network_context(event.source_ip)
# Add temporal context
event.temporal_context = self.get_temporal_context(event.timestamp)
return event
def setup_default_handlers(self):
"""Setup default security event handlers"""
# Authentication events
self.register_event_handler('authentication_failure', self.handle_auth_failure)
self.register_event_handler('authentication_success', self.handle_auth_success)
# Authorization events
self.register_event_handler('authorization_failure', self.handle_authz_failure)
# Tool access events
self.register_event_handler('tool_access', self.handle_tool_access)
self.register_event_handler('suspicious_tool_usage', self.handle_suspicious_tool_usage)
# System events
self.register_event_handler('system_compromise', self.handle_system_compromise)
self.register_event_handler('data_exfiltration', self.handle_data_exfiltration)
def handle_auth_failure(self, event: SecurityEvent, threat_analysis: ThreatAnalysis):
"""Handle authentication failure events"""
# Track failed attempts
self.track_failed_attempts(event.user_id, event.source_ip)
# Check for brute force
if self.is_brute_force_attack(event.user_id, event.source_ip):
self.trigger_brute_force_protection(event.user_id, event.source_ip)
# Update threat intelligence
self.update_threat_intelligence(event.source_ip, 'auth_failure')
def handle_suspicious_tool_usage(self, event: SecurityEvent, threat_analysis: ThreatAnalysis):
"""Handle suspicious tool usage events"""
# Analyze usage patterns
usage_analysis = self.analyze_tool_usage_patterns(event.user_id, event.tool_name)
# Check for anomalies
if usage_analysis.anomaly_detected:
# Increase monitoring
self.increase_user_monitoring(event.user_id)
# Require additional authentication
self.require_additional_auth(event.user_id, event.session_id)
# Alert security team
self.alert_security_team(event, usage_analysis)
Secure Communication Pattern
End-to-End Encryption Architecture
# End-to-End Encryption Pattern
class E2EEncryptionManager:
def __init__(self):
self.key_manager = KeyManager()
self.crypto_provider = CryptoProvider()
self.session_manager = SessionManager()
def establish_secure_channel(self, client_id: str, server_id: str) -> SecureChannel:
"""Establish end-to-end encrypted channel"""
# Generate ephemeral key pair
client_keypair = self.key_manager.generate_keypair()
# Perform key exchange
shared_secret = self.perform_key_exchange(
client_id,
server_id,
client_keypair
)
# Derive session keys
session_keys = self.derive_session_keys(shared_secret)
# Create secure channel
channel = SecureChannel(
client_id=client_id,
server_id=server_id,
encryption_key=session_keys.encryption_key,
mac_key=session_keys.mac_key,
sequence_number=0
)
return channel
def encrypt_message(self, channel: SecureChannel, message: bytes) -> bytes:
"""Encrypt message for secure transmission"""
# Generate initialization vector
iv = self.crypto_provider.generate_iv()
# Encrypt message
ciphertext = self.crypto_provider.encrypt(
message,
channel.encryption_key,
iv
)
# Create message structure
encrypted_message = {
'iv': iv,
'ciphertext': ciphertext,
'sequence': channel.sequence_number
}
# Generate MAC
mac = self.crypto_provider.generate_mac(
encrypted_message,
channel.mac_key
)
encrypted_message['mac'] = mac
# Increment sequence number
channel.sequence_number += 1
return self.serialize_message(encrypted_message)
def decrypt_message(self, channel: SecureChannel, encrypted_data: bytes) -> bytes:
"""Decrypt received message"""
# Deserialize message
encrypted_message = self.deserialize_message(encrypted_data)
# Verify MAC
if not self.crypto_provider.verify_mac(
encrypted_message,
channel.mac_key
):
raise SecurityException("MAC verification failed")
# Check sequence number
if encrypted_message['sequence'] != channel.expected_sequence:
raise SecurityException("Invalid sequence number")
# Decrypt message
plaintext = self.crypto_provider.decrypt(
encrypted_message['ciphertext'],
channel.encryption_key,
encrypted_message['iv']
)
# Update expected sequence
channel.expected_sequence += 1
return plaintext
Security Monitoring Pattern
Comprehensive Security Monitoring
# Security Monitoring Architecture
class SecurityMonitoringSystem:
def __init__(self):
self.metrics_collector = MetricsCollector()
self.log_analyzer = LogAnalyzer()
self.anomaly_detector = AnomalyDetector()
self.alert_manager = AlertManager()
def setup_monitoring(self):
"""Setup comprehensive security monitoring"""
# Setup metrics collection
self.setup_metrics_collection()
# Setup log analysis
self.setup_log_analysis()
# Setup anomaly detection
self.setup_anomaly_detection()
# Setup alerting
self.setup_alerting()
def setup_metrics_collection(self):
"""Setup security metrics collection"""
metrics = [
'authentication_failures',
'authorization_failures',
'tool_access_denials',
'suspicious_activities',
'system_resource_usage',
'network_anomalies'
]
for metric in metrics:
self.metrics_collector.register_metric(metric)
def setup_log_analysis(self):
"""Setup security log analysis"""
# Configure log sources
log_sources = [
'application_logs',
'system_logs',
'network_logs',
'audit_logs'
]
for source in log_sources:
self.log_analyzer.add_log_source(source)
# Configure analysis rules
self.log_analyzer.add_analysis_rule(
'brute_force_detection',
self.detect_brute_force_patterns
)
self.log_analyzer.add_analysis_rule(
'privilege_escalation',
self.detect_privilege_escalation
)
def setup_anomaly_detection(self):
"""Setup anomaly detection"""
# User behavior anomalies
self.anomaly_detector.add_detector(
'user_behavior',
UserBehaviorAnomalyDetector()
)
# System behavior anomalies
self.anomaly_detector.add_detector(
'system_behavior',
SystemBehaviorAnomalyDetector()
)
# Network anomalies
self.anomaly_detector.add_detector(
'network_behavior',
NetworkAnomalyDetector()
)
def process_security_data(self, data: SecurityData):
"""Process security data through monitoring pipeline"""
# Collect metrics
metrics = self.metrics_collector.collect_metrics(data)
# Analyze logs
log_analysis = self.log_analyzer.analyze_logs(data.logs)
# Detect anomalies
anomalies = self.anomaly_detector.detect_anomalies(data)
# Generate alerts
alerts = self.generate_alerts(metrics, log_analysis, anomalies)
# Process alerts
for alert in alerts:
self.alert_manager.process_alert(alert)
def generate_alerts(self, metrics: Dict, log_analysis: Dict, anomalies: List) -> List[Alert]:
"""Generate security alerts based on analysis"""
alerts = []
# Metric-based alerts
for metric_name, metric_value in metrics.items():
if self.is_metric_threshold_exceeded(metric_name, metric_value):
alerts.append(Alert(
type='metric_threshold',
severity='HIGH',
message=f"Metric {metric_name} exceeded threshold: {metric_value}",
source='metrics'
))
# Log analysis alerts
for analysis_result in log_analysis.get('alerts', []):
alerts.append(Alert(
type='log_analysis',
severity=analysis_result.severity,
message=analysis_result.message,
source='logs'
))
# Anomaly alerts
for anomaly in anomalies:
alerts.append(Alert(
type='anomaly',
severity=anomaly.severity,
message=f"Anomaly detected: {anomaly.description}",
source='anomaly_detection'
))
return alerts
Integration Guidelines
Pattern Selection Matrix
Use Case | Recommended Pattern | Security Level | Complexity |
---|---|---|---|
High-security environments | Zero Trust + Defense in Depth | Very High | High |
Microservices deployment | Service Mesh + API Gateway | High | Medium |
Event-driven systems | Event-driven Security | High | Medium |
Communication security | E2E Encryption | High | Medium |
Monitoring requirements | Security Monitoring | Medium | Low |
Implementation Roadmap
- Phase 1: Implement basic security patterns (API Gateway, Authentication)
- Phase 2: Add advanced patterns (Zero Trust, Service Mesh)
- Phase 3: Implement monitoring and event-driven security
- Phase 4: Add end-to-end encryption and defense in depth
Architecture Patterns provide proven blueprints for building secure, scalable MCP systems that can adapt to various security requirements and deployment scenarios.