from typing import Dict, List, Any, Optional, Set, Tuple
from dataclasses import dataclass, field
from enum import Enum
import asyncio
import json
import logging
import time
from datetime import datetime, timedelta
import hashlib
import jwt
from cryptography.fernet import Fernet

class TrustLevel(Enum):
    UNKNOWN = 0
    LOW = 1
    MEDIUM = 2
    HIGH = 3
    VERIFIED = 4

class AccessDecision(Enum):
    ALLOW = "allow"
    DENY = "deny"
    CHALLENGE = "challenge"
    MONITOR = "monitor"
    STEP_UP = "step_up"

class RiskLevel(Enum):
    LOW = "low"
    MEDIUM = "medium"
    HIGH = "high"
    CRITICAL = "critical"

@dataclass
class Identity:
    user_id: str
    username: str
    email: str
    groups: List[str]
    roles: List[str]
    trust_level: TrustLevel
    last_authentication: datetime
    authentication_method: str
    mfa_enabled: bool
    risk_score: float = 0.0
    behavioral_profile: Dict[str, Any] = field(default_factory=dict)
    attributes: Dict[str, Any] = field(default_factory=dict)

@dataclass
class Device:
    device_id: str
    device_type: str
    os_type: str
    os_version: str
    trust_level: TrustLevel
    compliance_status: str
    last_scan: datetime
    installed_software: List[str] = field(default_factory=list)
    security_posture: Dict[str, Any] = field(default_factory=dict)
    certificates: List[str] = field(default_factory=list)
    location: Optional[str] = None
    network_interface: Optional[str] = None

@dataclass
class Resource:
    resource_id: str
    resource_type: str
    classification: str
    owner: str
    location: str
    access_requirements: Dict[str, Any]
    encryption_status: bool
    monitoring_level: str
    compliance_tags: List[str] = field(default_factory=list)
    access_policies: List[str] = field(default_factory=list)

@dataclass
class AccessRequest:
    request_id: str
    timestamp: datetime
    identity: Identity
    device: Device
    resource: Resource
    action: str
    context: Dict[str, Any]
    risk_indicators: List[str] = field(default_factory=list)
    session_id: Optional[str] = None

@dataclass
class PolicyRule:
    rule_id: str
    name: str
    description: str
    conditions: Dict[str, Any]
    action: AccessDecision
    priority: int
    enabled: bool = True
    created_date: datetime = field(default_factory=datetime.now)
    last_modified: datetime = field(default_factory=datetime.now)

class ZeroTrustEngine:
    def __init__(self):
        self.policy_decision_point = PolicyDecisionPoint()
        self.policy_enforcement_points = {}
        self.identity_provider = IdentityProvider()
        self.device_trust_manager = DeviceTrustManager()
        self.risk_engine = RiskEngine()
        self.behavioral_analytics = BehavioralAnalytics()
        self.audit_logger = AuditLogger()
        self.encryption_manager = EncryptionManager()
        self.continuous_monitoring = ContinuousMonitoring()
        
    async def evaluate_access_request(self, request: AccessRequest) -> Dict[str, Any]:
        """Evaluate access request using zero trust principles"""
        evaluation_result = {
            'request_id': request.request_id,
            'timestamp': datetime.now(),
            'decision': AccessDecision.DENY,
            'confidence': 0.0,
            'risk_score': 0.0,
            'trust_score': 0.0,
            'reasons': [],
            'required_actions': [],
            'monitoring_level': 'standard',
            'session_duration': 3600,  # default 1 hour
            'additional_controls': []
        }
        
        try:
            # Phase 1: Identity verification
            identity_verification = await self._verify_identity(request.identity)
            evaluation_result['identity_verification'] = identity_verification
            
            if not identity_verification['verified']:
                evaluation_result['decision'] = AccessDecision.DENY
                evaluation_result['reasons'].append("Identity verification failed")
                return evaluation_result
            
            # Phase 2: Device trust assessment
            device_assessment = await self._assess_device_trust(request.device)
            evaluation_result['device_assessment'] = device_assessment
            
            # Phase 3: Risk assessment
            risk_assessment = await self.risk_engine.assess_risk(request)
            evaluation_result['risk_score'] = risk_assessment['score']
            evaluation_result['risk_factors'] = risk_assessment['factors']
            
            # Phase 4: Behavioral analysis
            behavioral_analysis = await self.behavioral_analytics.analyze_behavior(request)
            evaluation_result['behavioral_analysis'] = behavioral_analysis
            
            # Phase 5: Policy evaluation
            policy_decision = await self.policy_decision_point.evaluate_policies(request)
            evaluation_result['policy_decision'] = policy_decision
            
            # Phase 6: Trust score calculation
            trust_score = await self._calculate_trust_score(
                identity_verification, device_assessment, risk_assessment, behavioral_analysis
            )
            evaluation_result['trust_score'] = trust_score
            
            # Phase 7: Final decision
            final_decision = await self._make_final_decision(
                request, trust_score, risk_assessment, policy_decision
            )
            evaluation_result.update(final_decision)
            
            # Phase 8: Apply additional controls
            if evaluation_result['decision'] == AccessDecision.ALLOW:
                additional_controls = await self._apply_additional_controls(request, evaluation_result)
                evaluation_result['additional_controls'] = additional_controls
            
        except Exception as e:
            evaluation_result['decision'] = AccessDecision.DENY
            evaluation_result['error'] = str(e)
            evaluation_result['reasons'].append(f"Evaluation error: {e}")
        
        # Log the decision
        await self.audit_logger.log_access_decision(request, evaluation_result)
        
        return evaluation_result
    
    async def _verify_identity(self, identity: Identity) -> Dict[str, Any]:
        """Verify identity using multiple factors"""
        verification_result = {
            'verified': False,
            'trust_level': TrustLevel.UNKNOWN,
            'verification_methods': [],
            'mfa_status': 'unknown',
            'certificate_status': 'unknown'
        }
        
        # Primary authentication verification
        primary_auth = await self.identity_provider.verify_primary_authentication(identity)
        verification_result['primary_auth'] = primary_auth
        
        if not primary_auth['valid']:
            return verification_result
        
        # Multi-factor authentication verification
        if identity.mfa_enabled:
            mfa_result = await self.identity_provider.verify_mfa(identity)
            verification_result['mfa_status'] = 'verified' if mfa_result['valid'] else 'failed'
            verification_result['verification_methods'].append('mfa')
        
        # Certificate-based verification
        cert_verification = await self.identity_provider.verify_certificates(identity)
        verification_result['certificate_status'] = cert_verification['status']
        
        if cert_verification['valid']:
            verification_result['verification_methods'].append('certificate')
        
        # Determine overall verification status
        verification_result['verified'] = (
            primary_auth['valid'] and
            (not identity.mfa_enabled or verification_result['mfa_status'] == 'verified')
        )
        
        verification_result['trust_level'] = self._calculate_identity_trust_level(verification_result)
        
        return verification_result
    
    async def _assess_device_trust(self, device: Device) -> Dict[str, Any]:
        """Assess device trustworthiness"""
        assessment_result = {
            'trust_level': TrustLevel.UNKNOWN,
            'compliance_score': 0.0,
            'security_posture_score': 0.0,
            'vulnerability_count': 0,
            'recommendations': []
        }
        
        # Device registration status
        registration_status = await self.device_trust_manager.check_registration(device.device_id)
        assessment_result['registration_status'] = registration_status
        
        # Compliance assessment
        compliance_assessment = await self.device_trust_manager.assess_compliance(device)
        assessment_result['compliance_score'] = compliance_assessment['score']
        assessment_result['compliance_violations'] = compliance_assessment['violations']
        
        # Security posture evaluation
        security_posture = await self.device_trust_manager.evaluate_security_posture(device)
        assessment_result['security_posture_score'] = security_posture['score']
        assessment_result['security_issues'] = security_posture['issues']
        
        # Vulnerability assessment
        vulnerability_scan = await self.device_trust_manager.scan_vulnerabilities(device)
        assessment_result['vulnerability_count'] = len(vulnerability_scan['vulnerabilities'])
        assessment_result['critical_vulnerabilities'] = vulnerability_scan['critical']
        
        # Calculate overall trust level
        assessment_result['trust_level'] = self._calculate_device_trust_level(assessment_result)
        
        # Generate recommendations
        assessment_result['recommendations'] = self._generate_device_recommendations(assessment_result)
        
        return assessment_result
    
    async def _calculate_trust_score(self, identity_verification: Dict[str, Any],
                                   device_assessment: Dict[str, Any],
                                   risk_assessment: Dict[str, Any],
                                   behavioral_analysis: Dict[str, Any]) -> float:
        """Calculate overall trust score"""
        weights = {
            'identity': 0.30,
            'device': 0.25,
            'behavior': 0.25,
            'risk': 0.20
        }
        
        # Identity score
        identity_score = self._trust_level_to_score(identity_verification['trust_level'])
        
        # Device score
        device_score = self._trust_level_to_score(device_assessment['trust_level'])
        
        # Behavioral score
        behavioral_score = behavioral_analysis.get('trust_score', 0.5)
        
        # Risk score (inverted - lower risk = higher trust)
        risk_score = 1.0 - min(risk_assessment['score'], 1.0)
        
        # Calculate weighted average
        trust_score = (
            identity_score * weights['identity'] +
            device_score * weights['device'] +
            behavioral_score * weights['behavior'] +
            risk_score * weights['risk']
        )
        
        return min(max(trust_score, 0.0), 1.0)

class PolicyDecisionPoint:
    """Central policy decision point for zero trust access control"""
    
    def __init__(self):
        self.policy_store = PolicyStore()
        self.attribute_store = AttributeStore()
        self.policy_engine = PolicyEngine()
        
    async def evaluate_policies(self, request: AccessRequest) -> Dict[str, Any]:
        """Evaluate all applicable policies for access request"""
        policy_result = {
            'applicable_policies': [],
            'policy_decisions': [],
            'final_decision': AccessDecision.DENY,
            'confidence': 0.0,
            'conflicting_policies': []
        }
        
        # Find applicable policies
        applicable_policies = await self.policy_store.find_applicable_policies(request)
        policy_result['applicable_policies'] = [p.rule_id for p in applicable_policies]
        
        # Evaluate each policy
        for policy in applicable_policies:
            policy_decision = await self._evaluate_single_policy(policy, request)
            policy_result['policy_decisions'].append(policy_decision)
        
        # Resolve policy conflicts
        final_decision = await self._resolve_policy_conflicts(policy_result['policy_decisions'])
        policy_result['final_decision'] = final_decision['decision']
        policy_result['confidence'] = final_decision['confidence']
        policy_result['conflicting_policies'] = final_decision['conflicts']
        
        return policy_result
    
    async def _evaluate_single_policy(self, policy: PolicyRule, 
                                    request: AccessRequest) -> Dict[str, Any]:
        """Evaluate single policy rule"""
        evaluation = {
            'policy_id': policy.rule_id,
            'policy_name': policy.name,
            'decision': AccessDecision.DENY,
            'confidence': 0.0,
            'matched_conditions': [],
            'failed_conditions': []
        }
        
        # Evaluate each condition
        all_conditions_met = True
        condition_results = []
        
        for condition_name, condition_spec in policy.conditions.items():
            condition_result = await self._evaluate_condition(
                condition_name, condition_spec, request
            )
            condition_results.append(condition_result)
            
            if condition_result['matched']:
                evaluation['matched_conditions'].append(condition_name)
            else:
                evaluation['failed_conditions'].append(condition_name)
                all_conditions_met = False
        
        # Determine policy decision
        if all_conditions_met:
            evaluation['decision'] = policy.action
            evaluation['confidence'] = self._calculate_condition_confidence(condition_results)
        
        return evaluation
    
    async def _evaluate_condition(self, condition_name: str, condition_spec: Dict[str, Any],
                                request: AccessRequest) -> Dict[str, Any]:
        """Evaluate individual policy condition"""
        condition_result = {
            'condition': condition_name,
            'matched': False,
            'confidence': 0.0,
            'details': {}
        }
        
        condition_type = condition_spec.get('type', 'attribute')
        
        if condition_type == 'attribute':
            condition_result = await self._evaluate_attribute_condition(condition_spec, request)
        elif condition_type == 'time':
            condition_result = await self._evaluate_time_condition(condition_spec, request)
        elif condition_type == 'location':
            condition_result = await self._evaluate_location_condition(condition_spec, request)
        elif condition_type == 'risk':
            condition_result = await self._evaluate_risk_condition(condition_spec, request)
        elif condition_type == 'behavior':
            condition_result = await self._evaluate_behavior_condition(condition_spec, request)
        
        return condition_result

class RiskEngine:
    """Advanced risk assessment engine"""
    
    def __init__(self):
        self.risk_indicators = RiskIndicators()
        self.threat_intelligence = ThreatIntelligence()
        self.anomaly_detector = AnomalyDetector()
        self.risk_models = RiskModels()
        
    async def assess_risk(self, request: AccessRequest) -> Dict[str, Any]:
        """Comprehensive risk assessment"""
        risk_assessment = {
            'score': 0.0,
            'level': RiskLevel.LOW,
            'factors': [],
            'indicators': [],
            'threat_indicators': [],
            'anomalies': [],
            'recommendations': []
        }
        
        # Collect risk factors
        risk_factors = await self._collect_risk_factors(request)
        risk_assessment['factors'] = risk_factors
        
        # Check threat intelligence
        threat_indicators = await self.threat_intelligence.check_indicators(request)
        risk_assessment['threat_indicators'] = threat_indicators
        
        # Detect anomalies
        anomalies = await self.anomaly_detector.detect_anomalies(request)
        risk_assessment['anomalies'] = anomalies
        
        # Calculate risk score
        risk_score = await self._calculate_risk_score(
            risk_factors, threat_indicators, anomalies
        )
        risk_assessment['score'] = risk_score
        risk_assessment['level'] = self._score_to_risk_level(risk_score)
        
        # Generate risk indicators
        risk_assessment['indicators'] = await self._generate_risk_indicators(risk_assessment)
        
        # Generate recommendations
        risk_assessment['recommendations'] = await self._generate_risk_recommendations(risk_assessment)
        
        return risk_assessment
    
    async def _collect_risk_factors(self, request: AccessRequest) -> List[Dict[str, Any]]:
        """Collect various risk factors"""
        risk_factors = []
        
        # Time-based factors
        current_time = datetime.now()
        if current_time.hour < 6 or current_time.hour > 22:
            risk_factors.append({
                'type': 'time',
                'factor': 'off_hours_access',
                'weight': 0.3,
                'description': 'Access attempted during off-hours'
            })
        
        # Location-based factors
        if hasattr(request.device, 'location') and request.device.location:
            if await self._is_unusual_location(request.identity.user_id, request.device.location):
                risk_factors.append({
                    'type': 'location',
                    'factor': 'unusual_location',
                    'weight': 0.4,
                    'description': 'Access from unusual geographic location'
                })
        
        # Device-based factors
        if request.device.trust_level == TrustLevel.LOW:
            risk_factors.append({
                'type': 'device',
                'factor': 'untrusted_device',
                'weight': 0.5,
                'description': 'Access from untrusted device'
            })
        
        # Resource-based factors
        if request.resource.classification == 'confidential':
            risk_factors.append({
                'type': 'resource',
                'factor': 'sensitive_resource',
                'weight': 0.6,
                'description': 'Access to confidential resource'
            })
        
        # Behavioral factors
        behavioral_risk = await self._assess_behavioral_risk(request)
        if behavioral_risk['risk_level'] > 0.5:
            risk_factors.append({
                'type': 'behavior',
                'factor': 'unusual_behavior',
                'weight': behavioral_risk['risk_level'],
                'description': 'Unusual user behavior detected'
            })
        
        return risk_factors

class DeviceTrustManager:
    """Manage device trust and compliance"""
    
    def __init__(self):
        self.device_registry = DeviceRegistry()
        self.compliance_engine = ComplianceEngine()
        self.certificate_manager = CertificateManager()
        self.endpoint_protection = EndpointProtection()
        
    async def register_device(self, device: Device, 
                            registration_request: Dict[str, Any]) -> Dict[str, Any]:
        """Register new device with trust assessment"""
        registration_result = {
            'device_id': device.device_id,
            'registration_status': 'pending',
            'trust_level': TrustLevel.UNKNOWN,
            'compliance_status': 'unknown',
            'required_actions': [],
            'certificate_issued': False
        }
        
        try:
            # Validate device identity
            identity_validation = await self._validate_device_identity(device, registration_request)
            registration_result['identity_validation'] = identity_validation
            
            if not identity_validation['valid']:
                registration_result['registration_status'] = 'rejected'
                return registration_result
            
            # Perform initial compliance check
            compliance_check = await self.compliance_engine.assess_device_compliance(device)
            registration_result['compliance_status'] = compliance_check['status']
            registration_result['compliance_score'] = compliance_check['score']
            
            # Issue device certificate if compliant
            if compliance_check['score'] >= 0.7:  # 70% compliance threshold
                certificate_result = await self.certificate_manager.issue_device_certificate(device)
                registration_result['certificate_issued'] = certificate_result['success']
                registration_result['certificate_id'] = certificate_result.get('certificate_id')
            
            # Install endpoint protection
            if registration_request.get('install_endpoint_protection', True):
                epp_result = await self.endpoint_protection.install_agent(device)
                registration_result['endpoint_protection'] = epp_result
            
            # Determine trust level
            trust_level = await self._calculate_initial_trust_level(
                identity_validation, compliance_check, registration_result
            )
            registration_result['trust_level'] = trust_level
            
            # Register device in registry
            registry_result = await self.device_registry.register_device(device, registration_result)
            registration_result['registration_status'] = 'approved' if registry_result['success'] else 'failed'
            
        except Exception as e:
            registration_result['registration_status'] = 'failed'
            registration_result['error'] = str(e)
        
        return registration_result
    
    async def assess_compliance(self, device: Device) -> Dict[str, Any]:
        """Assess device compliance with security policies"""
        compliance_assessment = {
            'device_id': device.device_id,
            'score': 0.0,
            'status': 'non_compliant',
            'violations': [],
            'recommendations': [],
            'last_assessment': datetime.now()
        }
        
        # Check OS version compliance
        os_compliance = await self._check_os_compliance(device)
        compliance_assessment['os_compliance'] = os_compliance
        
        # Check installed software compliance
        software_compliance = await self._check_software_compliance(device)
        compliance_assessment['software_compliance'] = software_compliance
        
        # Check security configuration
        security_config = await self._check_security_configuration(device)
        compliance_assessment['security_configuration'] = security_config
        
        # Check encryption status
        encryption_status = await self._check_encryption_status(device)
        compliance_assessment['encryption_status'] = encryption_status
        
        # Calculate overall compliance score
        compliance_score = self._calculate_compliance_score([
            os_compliance, software_compliance, security_config, encryption_status
        ])
        compliance_assessment['score'] = compliance_score
        
        # Determine compliance status
        if compliance_score >= 0.9:
            compliance_assessment['status'] = 'fully_compliant'
        elif compliance_score >= 0.7:
            compliance_assessment['status'] = 'mostly_compliant'
        elif compliance_score >= 0.5:
            compliance_assessment['status'] = 'partially_compliant'
        else:
            compliance_assessment['status'] = 'non_compliant'
        
        return compliance_assessment

class BehavioralAnalytics:
    """Analyze user and entity behavior for anomaly detection"""
    
    def __init__(self):
        self.user_profiles = UserProfileStore()
        self.ml_models = BehavioralMLModels()
        self.pattern_analyzer = PatternAnalyzer()
        self.baseline_calculator = BaselineCalculator()
        
    async def analyze_behavior(self, request: AccessRequest) -> Dict[str, Any]:
        """Analyze behavioral patterns and anomalies"""
        behavioral_analysis = {
            'user_id': request.identity.user_id,
            'trust_score': 0.5,
            'anomaly_score': 0.0,
            'baseline_deviation': 0.0,
            'behavioral_patterns': [],
            'anomalies_detected': [],
            'risk_indicators': []
        }
        
        # Get user baseline profile
        user_profile = await self.user_profiles.get_profile(request.identity.user_id)
        if not user_profile:
            user_profile = await self._create_initial_profile(request.identity.user_id)
        
        # Analyze access patterns
        access_patterns = await self._analyze_access_patterns(request, user_profile)
        behavioral_analysis['access_patterns'] = access_patterns
        
        # Analyze temporal patterns
        temporal_patterns = await self._analyze_temporal_patterns(request, user_profile)
        behavioral_analysis['temporal_patterns'] = temporal_patterns
        
        # Analyze resource access patterns
        resource_patterns = await self._analyze_resource_patterns(request, user_profile)
        behavioral_analysis['resource_patterns'] = resource_patterns
        
        # Detect anomalies using ML models
        ml_anomalies = await self.ml_models.detect_anomalies(request, user_profile)
        behavioral_analysis['ml_anomalies'] = ml_anomalies
        
        # Calculate deviation from baseline
        baseline_deviation = await self._calculate_baseline_deviation(request, user_profile)
        behavioral_analysis['baseline_deviation'] = baseline_deviation
        
        # Calculate overall behavioral trust score
        trust_score = await self._calculate_behavioral_trust_score(behavioral_analysis)
        behavioral_analysis['trust_score'] = trust_score
        
        # Update user profile with new data
        await self._update_user_profile(request, user_profile, behavioral_analysis)
        
        return behavioral_analysis
    
    async def _analyze_access_patterns(self, request: AccessRequest,
                                     user_profile: Dict[str, Any]) -> Dict[str, Any]:
        """Analyze access patterns for anomalies"""
        patterns = {
            'typical_resources': user_profile.get('typical_resources', []),
            'typical_times': user_profile.get('typical_access_times', []),
            'typical_devices': user_profile.get('typical_devices', []),
            'typical_locations': user_profile.get('typical_locations', []),
            'anomalies': []
        }
        
        # Check resource access patterns
        if request.resource.resource_id not in patterns['typical_resources']:
            if len(patterns['typical_resources']) > 10:  # Only flag if we have enough data
                patterns['anomalies'].append({
                    'type': 'unusual_resource',
                    'severity': 'medium',
                    'description': f"Access to unusual resource: {request.resource.resource_id}"
                })
        
        # Check time patterns
        current_hour = request.timestamp.hour
        typical_hours = patterns['typical_times']
        if typical_hours and current_hour not in [h for h in typical_hours if abs(h - current_hour) <= 2]:
            patterns['anomalies'].append({
                'type': 'unusual_time',
                'severity': 'low',
                'description': f"Access at unusual time: {current_hour}:00"
            })
        
        # Check device patterns
        if request.device.device_id not in patterns['typical_devices']:
            patterns['anomalies'].append({
                'type': 'unusual_device',
                'severity': 'high',
                'description': f"Access from unusual device: {request.device.device_id}"
            })
        
        return patterns

class ContinuousMonitoring:
    """Continuous monitoring and adaptive access control"""
    
    def __init__(self):
        self.session_monitor = SessionMonitor()
        self.threat_detector = ThreatDetector()
        self.policy_adapter = PolicyAdapter()
        self.risk_calculator = RiskCalculator()
        
    async def monitor_active_sessions(self) -> Dict[str, Any]:
        """Monitor all active sessions for changes in trust/risk"""
        monitoring_result = {
            'total_sessions': 0,
            'high_risk_sessions': [],
            'trust_changes': [],
            'policy_violations': [],
            'adaptive_actions': []
        }
        
        # Get all active sessions
        active_sessions = await self.session_monitor.get_active_sessions()
        monitoring_result['total_sessions'] = len(active_sessions)
        
        for session in active_sessions:
            # Re-evaluate session risk
            current_risk = await self.risk_calculator.calculate_session_risk(session)
            
            if current_risk > session.initial_risk * 1.5:  # 50% increase in risk
                monitoring_result['high_risk_sessions'].append({
                    'session_id': session.session_id,
                    'user_id': session.user_id,
                    'current_risk': current_risk,
                    'initial_risk': session.initial_risk,
                    'risk_increase': current_risk - session.initial_risk
                })
                
                # Consider adaptive actions
                adaptive_action = await self._determine_adaptive_action(session, current_risk)
                if adaptive_action:
                    monitoring_result['adaptive_actions'].append(adaptive_action)
            
            # Check for policy violations
            policy_violations = await self._check_ongoing_policy_compliance(session)
            if policy_violations:
                monitoring_result['policy_violations'].extend(policy_violations)
        
        return monitoring_result
    
    async def _determine_adaptive_action(self, session: Dict[str, Any],
                                       current_risk: float) -> Optional[Dict[str, Any]]:
        """Determine appropriate adaptive action based on risk change"""
        if current_risk > 0.8:  # High risk threshold
            return {
                'action': 'terminate_session',
                'session_id': session['session_id'],
                'reason': 'High risk detected',
                'risk_score': current_risk
            }
        elif current_risk > 0.6:  # Medium risk threshold
            return {
                'action': 'require_step_up_auth',
                'session_id': session['session_id'],
                'reason': 'Elevated risk detected',
                'risk_score': current_risk
            }
        elif current_risk > 0.4:  # Low-medium risk threshold
            return {
                'action': 'increase_monitoring',
                'session_id': session['session_id'],
                'reason': 'Risk increase detected',
                'risk_score': current_risk
            }
        
        return None

class NetworkMicroSegmentation:
    """Implement network micro-segmentation for zero trust"""
    
    def __init__(self):
        self.segment_manager = SegmentManager()
        self.policy_engine = MicroSegmentationPolicyEngine()
        self.enforcement_points = {}
        self.traffic_analyzer = TrafficAnalyzer()
        
    async def implement_micro_segmentation(self, segmentation_config: Dict[str, Any]) -> Dict[str, Any]:
        """Implement comprehensive micro-segmentation"""
        implementation_result = {
            'segments_created': [],
            'policies_deployed': [],
            'enforcement_points_configured': [],
            'success': False
        }
        
        try:
            # Create network segments
            for segment_config in segmentation_config.get('segments', []):
                segment = await self.segment_manager.create_segment(segment_config)
                implementation_result['segments_created'].append(segment['segment_id'])
            
            # Deploy segmentation policies
            for policy_config in segmentation_config.get('policies', []):
                policy_deployment = await self.policy_engine.deploy_policy(policy_config)
                implementation_result['policies_deployed'].append(policy_deployment['policy_id'])
            
            # Configure enforcement points
            for ep_config in segmentation_config.get('enforcement_points', []):
                ep_result = await self._configure_enforcement_point(ep_config)
                implementation_result['enforcement_points_configured'].append(ep_result['ep_id'])
            
            # Validate segmentation
            validation_result = await self._validate_segmentation(implementation_result)
            implementation_result['validation'] = validation_result
            implementation_result['success'] = validation_result['success']
            
        except Exception as e:
            implementation_result['error'] = str(e)
        
        return implementation_result
    
    async def _configure_enforcement_point(self, ep_config: Dict[str, Any]) -> Dict[str, Any]:
        """Configure micro-segmentation enforcement point"""
        ep_result = {
            'ep_id': ep_config['id'],
            'type': ep_config['type'],
            'location': ep_config['location'],
            'policies_applied': [],
            'success': False
        }
        
        if ep_config['type'] == 'firewall':
            ep_result = await self._configure_firewall_enforcement(ep_config)
        elif ep_config['type'] == 'sdn_controller':
            ep_result = await self._configure_sdn_enforcement(ep_config)
        elif ep_config['type'] == 'host_based':
            ep_result = await self._configure_host_based_enforcement(ep_config)
        
        return ep_result

class EncryptionManager:
    """Manage encryption for zero trust communications"""
    
    def __init__(self):
        self.key_manager = KeyManager()
        self.certificate_authority = CertificateAuthority()
        self.tls_manager = TLSManager()
        self.data_encryption = DataEncryption()
        
    async def implement_end_to_end_encryption(self, encryption_config: Dict[str, Any]) -> Dict[str, Any]:
        """Implement comprehensive end-to-end encryption"""
        encryption_result = {
            'tls_configurations': [],
            'certificate_deployments': [],
            'key_distributions': [],
            'data_encryption_policies': [],
            'success': False
        }
        
        try:
            # Configure TLS for all communications
            for tls_config in encryption_config.get('tls_configurations', []):
                tls_result = await self.tls_manager.configure_tls(tls_config)
                encryption_result['tls_configurations'].append(tls_result)
            
            # Deploy certificates
            for cert_config in encryption_config.get('certificates', []):
                cert_result = await self.certificate_authority.deploy_certificate(cert_config)
                encryption_result['certificate_deployments'].append(cert_result)
            
            # Distribute encryption keys
            for key_config in encryption_config.get('key_distributions', []):
                key_result = await self.key_manager.distribute_keys(key_config)
                encryption_result['key_distributions'].append(key_result)
            
            # Apply data encryption policies
            for data_policy in encryption_config.get('data_encryption_policies', []):
                policy_result = await self.data_encryption.apply_policy(data_policy)
                encryption_result['data_encryption_policies'].append(policy_result)
            
            encryption_result['success'] = all([
                all(r['success'] for r in encryption_result['tls_configurations']),
                all(r['success'] for r in encryption_result['certificate_deployments']),
                all(r['success'] for r in encryption_result['key_distributions']),
                all(r['success'] for r in encryption_result['data_encryption_policies'])
            ])
            
        except Exception as e:
            encryption_result['error'] = str(e)
        
        return encryption_result

class ZeroTrustOrchestrator:
    """Orchestrate complete zero trust implementation"""
    
    def __init__(self):
        self.zero_trust_engine = ZeroTrustEngine()
        self.network_segmentation = NetworkMicroSegmentation()
        self.encryption_manager = EncryptionManager()
        self.monitoring = ContinuousMonitoring()
        self.deployment_manager = DeploymentManager()
        
    async def deploy_zero_trust_architecture(self, zt_config: Dict[str, Any]) -> Dict[str, Any]:
        """Deploy comprehensive zero trust architecture"""
        deployment_result = {
            'deployment_id': zt_config.get('id', 'default'),
            'start_time': time.time(),
            'phases': [],
            'overall_success': False
        }
        
        try:
            # Phase 1: Identity and Access Management
            iam_phase = await self._deploy_iam_components(zt_config.get('iam', {}))
            deployment_result['phases'].append(iam_phase)
            
            # Phase 2: Network Micro-segmentation
            segmentation_phase = await self._deploy_network_segmentation(
                zt_config.get('network_segmentation', {})
            )
            deployment_result['phases'].append(segmentation_phase)
            
            # Phase 3: Encryption and PKI
            encryption_phase = await self._deploy_encryption_infrastructure(
                zt_config.get('encryption', {})
            )
            deployment_result['phases'].append(encryption_phase)
            
            # Phase 4: Policy Framework
            policy_phase = await self._deploy_policy_framework(
                zt_config.get('policies', {})
            )
            deployment_result['phases'].append(policy_phase)
            
            # Phase 5: Monitoring and Analytics
            monitoring_phase = await self._deploy_monitoring_infrastructure(
                zt_config.get('monitoring', {})
            )
            deployment_result['phases'].append(monitoring_phase)
            
            # Phase 6: Validation and Testing
            validation_phase = await self._validate_zero_trust_deployment(deployment_result)
            deployment_result['phases'].append(validation_phase)
            
            deployment_result['overall_success'] = all(
                phase.get('success', False) for phase in deployment_result['phases']
            )
            
        except Exception as e:
            deployment_result['error'] = str(e)
            deployment_result['overall_success'] = False
        
        deployment_result['end_time'] = time.time()
        deployment_result['duration'] = deployment_result['end_time'] - deployment_result['start_time']
        
        return deployment_result
    
    async def _validate_zero_trust_deployment(self, deployment_result: Dict[str, Any]) -> Dict[str, Any]:
        """Validate zero trust deployment"""
        validation_phase = {
            'phase': 'validation',
            'start_time': time.time(),
            'validation_tests': [],
            'success': False
        }
        
        # Test identity verification
        identity_test = await self._test_identity_verification()
        validation_phase['validation_tests'].append(identity_test)
        
        # Test policy enforcement
        policy_test = await self._test_policy_enforcement()
        validation_phase['validation_tests'].append(policy_test)
        
        # Test network segmentation
        segmentation_test = await self._test_network_segmentation()
        validation_phase['validation_tests'].append(segmentation_test)
        
        # Test encryption
        encryption_test = await self._test_encryption()
        validation_phase['validation_tests'].append(encryption_test)
        
        # Test monitoring
        monitoring_test = await self._test_monitoring()
        validation_phase['validation_tests'].append(monitoring_test)
        
        validation_phase['success'] = all(
            test['passed'] for test in validation_phase['validation_tests']
        )
        
        validation_phase['end_time'] = time.time()
        validation_phase['duration'] = validation_phase['end_time'] - validation_phase['start_time']
        
        return validation_phase