Purple Team Operations

# Purple Team Collaborative Platform
import asyncio
import json
from typing import Dict, List, Optional, Tuple
from datetime import datetime, timedelta
from dataclasses import dataclass, asdict
from enum import Enum
import logging
import websockets

class EngagementPhase(Enum):
    PLANNING = "planning"
    RECONNAISSANCE = "reconnaissance"
    INITIAL_ACCESS = "initial_access"
    PERSISTENCE = "persistence"
    PRIVILEGE_ESCALATION = "privilege_escalation"
    LATERAL_MOVEMENT = "lateral_movement"
    DETECTION_ANALYSIS = "detection_analysis"
    RESPONSE_TESTING = "response_testing"
    KNOWLEDGE_TRANSFER = "knowledge_transfer"
    IMPROVEMENT_IMPLEMENTATION = "improvement_implementation"

@dataclass
class PurpleTeamScenario:
    id: str
    name: str
    description: str
    red_team_objectives: List[str]
    blue_team_focus_areas: List[str]
    collaboration_points: List[str]
    success_metrics: Dict[str, float]
    mitre_techniques: List[str]
    threat_intelligence_context: str
    duration_hours: int
    automation_level: int  # 1-10
    status: str = "planned"

@dataclass
class CollaborationSession:
    id: str
    timestamp: datetime
    participants: List[str]
    scenario_id: str
    discussion_points: List[Dict]
    findings: List[Dict]
    action_items: List[Dict]
    knowledge_shared: List[Dict]

@dataclass
class DetectionImprovement:
    id: str
    detection_name: str
    before_metrics: Dict[str, float]
    after_metrics: Dict[str, float]
    implementation_date: datetime
    red_team_technique_covered: str
    confidence_level: float
    false_positive_rate: float

class PurpleTeamPlatform:
    def __init__(self, config: Dict):
        self.platform_id = config['platform_id']
        self.red_team_members = config['red_team']
        self.blue_team_members = config['blue_team']
        self.scenarios = []
        self.collaboration_sessions = []
        self.detection_improvements = []
        self.real_time_communications = {}
        self.knowledge_base = {}
        
        # WebSocket server for real-time collaboration
        self.websocket_server = None
        self.connected_clients = set()
        
        logging.basicConfig(level=logging.INFO)
        self.logger = logging.getLogger(__name__)
    
    async def start_collaboration_platform(self, port: int = 8765):
        """Start the real-time collaboration platform"""
        
        async def handle_client(websocket, path):
            self.connected_clients.add(websocket)
            try:
                async for message in websocket:
                    await self.handle_real_time_message(message, websocket)
            except websockets.exceptions.ConnectionClosed:
                pass
            finally:
                self.connected_clients.remove(websocket)
        
        self.websocket_server = await websockets.serve(
            handle_client, "localhost", port
        )
        
        self.logger.info(f"Purple team collaboration platform started on port {port}")
        return True
    
    async def execute_purple_team_scenario(
        self,
        scenario: PurpleTeamScenario,
        red_team_lead: str,
        blue_team_lead: str
    ) -> Dict:
        """Execute a collaborative purple team scenario"""
        
        try:
            scenario.status = "executing"
            
            # Initialize collaboration session
            session = CollaborationSession(
                id=f"session_{scenario.id}_{datetime.utcnow().strftime('%Y%m%d_%H%M%S')}",
                timestamp=datetime.utcnow(),
                participants=[red_team_lead, blue_team_lead],
                scenario_id=scenario.id,
                discussion_points=[],
                findings=[],
                action_items=[],
                knowledge_shared=[]
            )
            
            # Phase 1: Planning and Preparation
            planning_results = await self.collaborative_planning_phase(
                scenario, session
            )
            
            # Phase 2: Red Team Execution with Blue Team Monitoring
            execution_results = await self.collaborative_execution_phase(
                scenario, session
            )
            
            # Phase 3: Real-time Analysis and Discussion
            analysis_results = await self.real_time_analysis_phase(
                scenario, session, execution_results
            )
            
            # Phase 4: Detection Enhancement
            enhancement_results = await self.detection_enhancement_phase(
                scenario, session, analysis_results
            )
            
            # Phase 5: Knowledge Transfer and Documentation
            knowledge_transfer_results = await self.knowledge_transfer_phase(
                scenario, session, enhancement_results
            )
            
            scenario.status = "completed"
            self.collaboration_sessions.append(session)
            
            return {
                'scenario_id': scenario.id,
                'session_id': session.id,
                'success': True,
                'planning': planning_results,
                'execution': execution_results,
                'analysis': analysis_results,
                'enhancements': enhancement_results,
                'knowledge_transfer': knowledge_transfer_results,
                'collaboration_score': self.calculate_collaboration_score(session),
                'improvement_metrics': self.calculate_improvement_metrics(scenario)
            }
            
        except Exception as e:
            self.logger.error(f"Purple team scenario execution failed: {e}")
            scenario.status = "failed"
            return {
                'scenario_id': scenario.id,
                'success': False,
                'error': str(e)
            }
    
    async def collaborative_execution_phase(
        self,
        scenario: PurpleTeamScenario,
        session: CollaborationSession
    ) -> Dict:
        """Execute red team activities with blue team observation"""
        
        execution_results = {
            'red_team_activities': [],
            'blue_team_detections': [],
            'collaboration_events': [],
            'real_time_adjustments': []
        }
        
        for technique in scenario.mitre_techniques:
            # Red team executes technique
            red_result = await self.execute_red_team_technique(
                technique, scenario
            )
            
            # Notify blue team in real-time
            await self.notify_teams({
                'event': 'red_team_activity',
                'technique': technique,
                'timestamp': datetime.utcnow(),
                'session_id': session.id
            })
            
            # Blue team analyzes and responds
            blue_analysis = await self.blue_team_analysis(
                technique, red_result, scenario
            )
            
            # Real-time collaboration discussion
            collaboration_event = await self.facilitate_real_time_discussion(
                technique, red_result, blue_analysis, session
            )
            
            execution_results['red_team_activities'].append(red_result)
            execution_results['blue_team_detections'].append(blue_analysis)
            execution_results['collaboration_events'].append(collaboration_event)
            
            # Adjust based on collaborative insights
            if collaboration_event.get('adjustment_needed'):
                adjustment = await self.implement_real_time_adjustment(
                    collaboration_event, scenario
                )
                execution_results['real_time_adjustments'].append(adjustment)
        
        return execution_results
    
    async def facilitate_real_time_discussion(
        self,
        technique: str,
        red_result: Dict,
        blue_analysis: Dict,
        session: CollaborationSession
    ) -> Dict:
        """Facilitate real-time discussion between red and blue teams"""
        
        discussion_event = {
            'timestamp': datetime.utcnow(),
            'technique': technique,
            'red_team_perspective': {
                'execution_method': red_result.get('method'),
                'success_factors': red_result.get('success_factors', []),
                'evasion_techniques': red_result.get('evasion_techniques', []),
                'observed_gaps': red_result.get('observed_defensive_gaps', [])
            },
            'blue_team_perspective': {
                'detection_status': blue_analysis.get('detected'),
                'detection_method': blue_analysis.get('detection_method'),
                'response_time': blue_analysis.get('response_time_seconds'),
                'analysis_confidence': blue_analysis.get('confidence'),
                'improvement_opportunities': blue_analysis.get('improvements', [])
            },
            'collaborative_insights': [],
            'action_items': []
        }
        
        # Simulate collaborative discussion
        insights = await self.generate_collaborative_insights(
            red_result, blue_analysis, technique
        )
        
        discussion_event['collaborative_insights'] = insights
        
        # Generate action items
        action_items = []
        if not blue_analysis.get('detected'):
            action_items.append({
                'type': 'detection_improvement',
                'priority': 'high',
                'description': f'Develop detection for {technique}',
                'assigned_to': 'blue_team',
                'due_date': datetime.utcnow() + timedelta(days=3)
            })
        
        if red_result.get('success') and blue_analysis.get('response_time_seconds', 0) > 300:
            action_items.append({
                'type': 'response_optimization',
                'priority': 'medium',
                'description': f'Optimize response time for {technique}',
                'assigned_to': 'blue_team',
                'due_date': datetime.utcnow() + timedelta(days=7)
            })
        
        discussion_event['action_items'] = action_items
        
        # Add to session
        session.discussion_points.append(discussion_event)
        
        # Broadcast to connected clients
        await self.broadcast_to_clients({
            'type': 'collaboration_event',
            'data': discussion_event
        })
        
        return discussion_event
    
    async def detection_enhancement_phase(
        self,
        scenario: PurpleTeamScenario,
        session: CollaborationSession,
        analysis_results: Dict
    ) -> Dict:
        """Implement detection enhancements based on collaborative insights"""
        
        enhancements = []
        
        for event in session.discussion_points:
            if not event['blue_team_perspective']['detection_status']:
                # Create new detection rule
                enhancement = await self.create_detection_enhancement(
                    event['technique'],
                    event['red_team_perspective'],
                    event['collaborative_insights']
                )
                
                if enhancement:
                    # Test the new detection
                    test_result = await self.test_detection_enhancement(
                        enhancement, event['technique']
                    )
                    
                    enhancement['test_result'] = test_result
                    enhancements.append(enhancement)
                    
                    # Add to detection improvements tracking
                    improvement = DetectionImprovement(
                        id=f"improvement_{enhancement['id']}",
                        detection_name=enhancement['name'],
                        before_metrics={'detection_rate': 0.0, 'false_positive_rate': 0.0},
                        after_metrics={
                            'detection_rate': test_result.get('detection_rate', 0.0),
                            'false_positive_rate': test_result.get('false_positive_rate', 0.0)
                        },
                        implementation_date=datetime.utcnow(),
                        red_team_technique_covered=event['technique'],
                        confidence_level=test_result.get('confidence', 0.0),
                        false_positive_rate=test_result.get('false_positive_rate', 0.0)
                    )
                    
                    self.detection_improvements.append(improvement)
        
        return {
            'enhancements_created': len(enhancements),
            'enhancements': enhancements,
            'average_detection_improvement': self.calculate_average_detection_improvement(),
            'false_positive_impact': self.calculate_false_positive_impact(),
            'implementation_timeline': self.generate_implementation_timeline(enhancements)
        }
    
    async def generate_collaborative_insights(
        self,
        red_result: Dict,
        blue_analysis: Dict,
        technique: str
    ) -> List[Dict]:
        """Generate insights from collaborative analysis"""
        
        insights = []
        
        # Detection gap analysis
        if not blue_analysis.get('detected'):
            insights.append({
                'type': 'detection_gap',
                'priority': 'high',
                'insight': f'No detection capability for {technique}',
                'recommendation': 'Develop specific detection rule or enhance monitoring',
                'impact': 'high'
            })
        
        # Evasion technique analysis
        if red_result.get('evasion_techniques'):
            insights.append({
                'type': 'evasion_analysis',
                'priority': 'medium',
                'insight': f'Red team used evasion: {red_result["evasion_techniques"]}',
                'recommendation': 'Enhance detection to account for evasion methods',
                'impact': 'medium'
            })
        
        # Response time analysis
        response_time = blue_analysis.get('response_time_seconds', 0)
        if response_time > 300:  # 5 minutes
            insights.append({
                'type': 'response_time',
                'priority': 'medium',
                'insight': f'Response time of {response_time}s exceeds target',
                'recommendation': 'Streamline response procedures and automation',
                'impact': 'medium'
            })
        
        # Success factor analysis
        if red_result.get('success_factors'):
            insights.append({
                'type': 'success_factors',
                'priority': 'high',
                'insight': f'Red team success due to: {red_result["success_factors"]}',
                'recommendation': 'Address underlying vulnerabilities and gaps',
                'impact': 'high'
            })
        
        return insights
    
    async def generate_purple_team_report(self) -> Dict:
        """Generate comprehensive purple team engagement report"""
        
        report = {
            'engagement_summary': {
                'platform_id': self.platform_id,
                'total_scenarios': len(self.scenarios),
                'completed_scenarios': len([s for s in self.scenarios if s.status == 'completed']),
                'collaboration_sessions': len(self.collaboration_sessions),
                'detection_improvements': len(self.detection_improvements),
                'engagement_period': self.calculate_engagement_period()
            },
            'collaboration_effectiveness': {
                'average_collaboration_score': self.calculate_average_collaboration_score(),
                'knowledge_transfer_events': self.count_knowledge_transfer_events(),
                'real_time_interactions': self.count_real_time_interactions(),
                'cross_team_insights_generated': self.count_cross_team_insights()
            },
            'detection_improvements': {
                'new_detections_created': len(self.detection_improvements),
                'average_detection_rate_improvement': self.calculate_average_detection_improvement(),
                'false_positive_reduction': self.calculate_false_positive_reduction(),
                'response_time_improvements': self.calculate_response_time_improvements()
            },
            'threat_coverage': {
                'mitre_techniques_covered': self.get_mitre_techniques_covered(),
                'threat_intelligence_integration': self.analyze_threat_intelligence_usage(),
                'scenario_complexity_distribution': self.analyze_scenario_complexity()
            },
            'recommendations': self.generate_purple_team_recommendations(),
            'lessons_learned': self.extract_purple_team_lessons(),
            'automation_impact': self.analyze_automation_effectiveness(),
            'roi_analysis': self.calculate_purple_team_roi()
        }
        
        return report
    
    def generate_purple_team_recommendations(self) -> List[Dict]:
        """Generate recommendations based on purple team results"""
        
        recommendations = []
        
        # Detection coverage recommendations
        detection_rate = self.calculate_average_detection_improvement()
        if detection_rate < 70:
            recommendations.append({
                'category': 'Detection Enhancement',
                'priority': 'High',
                'recommendation': 'Expand detection rule coverage for identified gaps',
                'impact': 'Significant improvement in threat detection capability',
                'timeline': '2-4 weeks'
            })
        
        # Collaboration effectiveness
        collab_score = self.calculate_average_collaboration_score()
        if collab_score < 80:
            recommendations.append({
                'category': 'Collaboration Process',
                'priority': 'Medium',
                'recommendation': 'Implement more frequent real-time collaboration sessions',
                'impact': 'Enhanced knowledge transfer and team coordination',
                'timeline': '1-2 weeks'
            })
        
        # Response time optimization
        avg_response_time = self.calculate_average_response_time()
        if avg_response_time > 300:  # 5 minutes
            recommendations.append({
                'category': 'Incident Response',
                'priority': 'High',
                'recommendation': 'Automate response procedures and enhance runbooks',
                'impact': 'Faster threat containment and reduced impact',
                'timeline': '3-6 weeks'
            })
        
        # Automation opportunities
        automation_effectiveness = self.analyze_automation_effectiveness()
        if automation_effectiveness.get('utilization', 0) < 60:
            recommendations.append({
                'category': 'Automation',
                'priority': 'Medium',
                'recommendation': 'Increase automation in scenario execution and analysis',
                'impact': 'More consistent testing and scalable operations',
                'timeline': '4-8 weeks'
            })
        
        return recommendations

    def calculate_purple_team_roi(self) -> Dict:
        """Calculate return on investment for purple team operations"""
        
        # Cost calculations
        total_person_hours = sum([
            len(self.red_team_members) * s.duration_hours for s in self.scenarios
        ]) + sum([
            len(self.blue_team_members) * s.duration_hours for s in self.scenarios
        ])
        
        estimated_cost = total_person_hours * 150  # $150/hour average
        tooling_costs = len(self.scenarios) * 1000  # Platform and tool costs
        total_cost = estimated_cost + tooling_costs
        
        # Benefit calculations
        detection_improvements_value = len(self.detection_improvements) * 25000  # $25k per detection
        response_time_value = self.calculate_response_time_improvements() * 10000  # $10k per improvement
        knowledge_transfer_value = self.count_knowledge_transfer_events() * 5000  # $5k per event
        
        total_benefits = detection_improvements_value + response_time_value + knowledge_transfer_value
        
        roi = ((total_benefits - total_cost) / total_cost) * 100 if total_cost > 0 else 0
        
        return {
            'total_cost': total_cost,
            'total_benefits': total_benefits,
            'roi_percentage': round(roi, 2),
            'payback_period_months': max(1, round(total_cost / (total_benefits / 12), 1)),
            'cost_per_detection': round(total_cost / max(1, len(self.detection_improvements)), 2),
            'benefit_breakdown': {
                'detection_improvements': detection_improvements_value,
                'response_time_improvements': response_time_value,
                'knowledge_transfer': knowledge_transfer_value
            }
        }

// Purple Team Collaboration Dashboard
interface PurpleTeamSession {
  id: string;
  name: string;
  startTime: Date;
  duration: number;
  redTeamMembers: TeamMember[];
  blueTeamMembers: TeamMember[];
  scenarios: Scenario[];
  collaborationEvents: CollaborationEvent[];
  status: 'planning' | 'active' | 'analysis' | 'completed';
  metrics: SessionMetrics;
}

interface CollaborationEvent {
  id: string;
  timestamp: Date;
  type: 'technique_execution' | 'detection_analysis' | 'knowledge_share' | 'improvement_identified';
  participants: string[];
  technique?: string;
  findings: Finding[];
  actionItems: ActionItem[];
  realTimeDiscussion: Discussion[];
}

interface SessionMetrics {
  collaborationScore: number;
  knowledgeTransferEvents: number;
  detectionImprovements: number;
  responseTimeImprovement: number;
  teamSatisfactionScore: number;
  scenarioCompletionRate: number;
}

class PurpleTeamDashboard {
  private session: PurpleTeamSession;
  private websocket: WebSocket;
  private realTimeUpdates: Map<string, any> = new Map();
  private collaborationLog: CollaborationEvent[] = [];
  
  constructor(sessionId: string) {
    this.loadSession(sessionId);
    this.initializeRealTimeConnection();
    this.setupCollaborationHandlers();
  }

  private initializeRealTimeConnection(): void {
    this.websocket = new WebSocket(`ws://localhost:8765/purple-team/${this.session.id}`);
    
    this.websocket.onmessage = (event) => {
      const data = JSON.parse(event.data);
      this.handleRealTimeUpdate(data);
    };
    
    this.websocket.onopen = () => {
      this.sendMessage({
        type: 'join_session',
        sessionId: this.session.id,
        userId: this.getCurrentUserId()
      });
    };
  }

  async executeCollaborativeScenario(
    scenario: Scenario,
    redTeamLead: string,
    blueTeamLead: string
  ): Promise<ScenarioResult> {
    
    // Initialize collaborative scenario
    const collaborativeExecution = {
      scenarioId: scenario.id,
      startTime: new Date(),
      redTeamLead,
      blueTeamLead,
      phases: []
    };

    // Phase 1: Collaborative Planning
    const planningResult = await this.conductCollaborativePlanning(scenario);
    collaborativeExecution.phases.push(planningResult);

    // Phase 2: Real-time Execution with Collaboration
    const executionResult = await this.conductRealTimeExecution(scenario);
    collaborativeExecution.phases.push(executionResult);

    // Phase 3: Joint Analysis and Discussion
    const analysisResult = await this.conductJointAnalysis(scenario, executionResult);
    collaborativeExecution.phases.push(analysisResult);

    // Phase 4: Improvement Implementation
    const improvementResult = await this.implementImprovements(analysisResult);
    collaborativeExecution.phases.push(improvementResult);

    // Calculate collaboration metrics
    const metrics = this.calculateCollaborationMetrics(collaborativeExecution);
    
    return {
      scenarioId: scenario.id,
      success: true,
      collaborationScore: metrics.collaborationScore,
      knowledgeTransferred: metrics.knowledgeTransferred,
      detectionsImproved: metrics.detectionsImproved,
      phases: collaborativeExecution.phases,
      recommendations: this.generateCollaborationRecommendations(metrics)
    };
  }

  private async conductCollaborativePlanning(scenario: Scenario): Promise<PlanningResult> {
    // Create collaborative planning session
    const planningSession = {
      participants: [...this.session.redTeamMembers, ...this.session.blueTeamMembers],
      objectives: {
        redTeam: scenario.redTeamObjectives,
        blueTeam: scenario.blueTeamObjectives,
        collaborative: scenario.collaborativeObjectives
      },
      timeline: this.createCollaborativeTimeline(scenario),
      communicationPlan: this.createCommunicationPlan(),
      successMetrics: this.defineSuccessMetrics(scenario)
    };

    // Facilitate planning discussion
    const planningDiscussion = await this.facilitatePlanningDiscussion(planningSession);
    
    // Document agreed approach
    const agreedApproach = {
      attackVectors: planningDiscussion.agreedAttackVectors,
      detectionFoci: planningDiscussion.detectionFoci,
      collaborationPoints: planningDiscussion.collaborationPoints,
      safetyMeasures: planningDiscussion.safetyMeasures
    };

    return {
      planningSession,
      discussion: planningDiscussion,
      agreedApproach,
      readinessScore: this.assessPlanningReadiness(agreedApproach)
    };
  }

  private async conductRealTimeExecution(scenario: Scenario): Promise<ExecutionResult> {
    const executionEvents: ExecutionEvent[] = [];
    const collaborationMoments: CollaborationMoment[] = [];
    
    for (const technique of scenario.techniques) {
      // Red team executes technique
      const redExecution = await this.executeRedTeamTechnique(technique);
      
      // Real-time notification to blue team
      await this.notifyBlueTeam({
        type: 'technique_execution',
        technique: technique.id,
        timestamp: new Date(),
        details: redExecution.observableIndicators
      });
      
      // Blue team detection and response
      const blueResponse = await this.captureBlueTeamResponse(technique, redExecution);
      
      // Immediate collaboration moment
      const collaborationMoment = await this.facilitateImmediateCollaboration({
        technique,
        redExecution,
        blueResponse
      });
      
      executionEvents.push({
        technique: technique.id,
        redExecution,
        blueResponse,
        collaborationInsights: collaborationMoment.insights
      });
      
      collaborationMoments.push(collaborationMoment);
      
      // Real-time adjustments based on collaboration
      if (collaborationMoment.adjustmentNeeded) {
        await this.implementRealTimeAdjustment(collaborationMoment.suggestedAdjustment);
      }
    }

    return {
      executionEvents,
      collaborationMoments,
      overallEffectiveness: this.calculateExecutionEffectiveness(executionEvents),
      realTimeCollaborationScore: this.calculateCollaborationScore(collaborationMoments)
    };
  }

  private async facilitateImmediateCollaboration(context: CollaborationContext): Promise<CollaborationMoment> {
    const collaborationRoom = {
      participants: [context.redTeamOperator, context.blueTeamAnalyst],
      technique: context.technique,
      immediateFindings: {
        redPerspective: context.redExecution.perspective,
        bluePerspective: context.blueResponse.perspective
      }
    };

    // Real-time discussion facilitation
    const discussion = await this.facilitateRealTimeDiscussion(collaborationRoom);
    
    // Knowledge extraction
    const knowledgeExtracted = {
      attackInsights: discussion.redTeamInsights,
      defenseGaps: discussion.identifiedGaps,
      improvementOpportunities: discussion.improvementIdeas,
      sharedUnderstanding: discussion.consensusPoints
    };

    // Generate immediate action items
    const actionItems = this.generateImmediateActionItems(knowledgeExtracted);
    
    return {
      timestamp: new Date(),
      technique: context.technique.id,
      participants: collaborationRoom.participants,
      discussion,
      knowledgeExtracted,
      actionItems,
      adjustmentNeeded: actionItems.some(item => item.priority === 'immediate'),
      suggestedAdjustment: actionItems.find(item => item.priority === 'immediate')
    };
  }

  private calculateCollaborationMetrics(execution: any): CollaborationMetrics {
    const totalCollaborationEvents = execution.phases.reduce(
      (sum: number, phase: any) => sum + (phase.collaborationMoments?.length || 0), 0
    );
    
    const knowledgeTransferEvents = execution.phases.reduce(
      (sum: number, phase: any) => sum + (phase.knowledgeTransferEvents || 0), 0
    );
    
    const detectionsImproved = execution.phases.reduce(
      (sum: number, phase: any) => sum + (phase.detectionsImproved || 0), 0
    );
    
    const responseTimeImprovements = execution.phases.reduce(
      (sum: number, phase: any) => sum + (phase.responseTimeImprovements || 0), 0
    );

    // Calculate collaboration effectiveness score
    const collaborationScore = Math.min(100, 
      (totalCollaborationEvents * 10) + 
      (knowledgeTransferEvents * 15) + 
      (detectionsImproved * 20) + 
      (responseTimeImprovements * 10)
    );

    return {
      collaborationScore,
      totalCollaborationEvents,
      knowledgeTransferEvents,
      detectionsImproved,
      responseTimeImprovements,
      teamSatisfaction: this.calculateTeamSatisfaction(),
      realTimeInteractionQuality: this.assessRealTimeInteractionQuality()
    };
  }

  generatePurpleTeamReport(): PurpleTeamReport {
    return {
      sessionSummary: {
        sessionId: this.session.id,
        duration: this.calculateSessionDuration(),
        participantCount: this.session.redTeamMembers.length + this.session.blueTeamMembers.length,
        scenariosCompleted: this.getCompletedScenarios().length,
        collaborationEvents: this.collaborationLog.length
      },
      collaborationEffectiveness: {
        overallScore: this.calculateOverallCollaborationScore(),
        knowledgeTransferRate: this.calculateKnowledgeTransferRate(),
        realTimeInteractionQuality: this.assessRealTimeInteractionQuality(),
        crossTeamUnderstanding: this.assessCrossTeamUnderstanding()
      },
      defensiveImprovements: {
        newDetectionsCreated: this.getNewDetections().length,
        existingDetectionsImproved: this.getImprovedDetections().length,
        responseTimeReductions: this.calculateResponseTimeReductions(),
        falsePositiveReductions: this.calculateFalsePositiveReductions()
      },
      threatCoverage: {
        mitreTechniquesCovered: this.getMitreTechniquesCovered(),
        threatIntelligenceIncorporated: this.getThreatIntelligenceUsage(),
        realWorldScenarioRelevance: this.assessScenarioRelevance()
      },
      recommendations: this.generatePurpleTeamRecommendations(),
      lessonsMastered: this.extractMasteredLessons(),
      nextSteps: this.planNextPurpleTeamCycle(),
      roiAnalysis: this.calculatePurpleTeamROI()
    };
  }

  private generatePurpleTeamRecommendations(): Recommendation[] {
    const recommendations: Recommendation[] = [];
    
    // Collaboration process improvements
    if (this.session.metrics.collaborationScore < 80) {
      recommendations.push({
        category: 'Collaboration Process',
        priority: 'High',
        description: 'Increase frequency of real-time collaboration sessions',
        impact: 'Enhanced knowledge transfer and team synergy',
        timeline: '2-4 weeks',
        implementation: [
          'Schedule daily collaboration checkpoints',
          'Implement collaborative analysis tools',
          'Create knowledge sharing templates'
        ]
      });
    }
    
    // Detection capability enhancements
    const detectionGaps = this.identifyDetectionGaps();
    if (detectionGaps.length > 0) {
      recommendations.push({
        category: 'Detection Enhancement',
        priority: 'Critical',
        description: `Address ${detectionGaps.length} identified detection gaps`,
        impact: 'Significantly improved threat detection capability',
        timeline: '1-3 weeks',
        implementation: detectionGaps.map(gap => `Implement detection for ${gap.technique}`)
      });
    }
    
    // Response optimization
    if (this.session.metrics.responseTimeImprovement < 50) {
      recommendations.push({
        category: 'Response Optimization',
        priority: 'Medium',
        description: 'Streamline incident response procedures',
        impact: 'Faster threat containment and reduced impact',
        timeline: '3-6 weeks',
        implementation: [
          'Automate common response actions',
          'Improve alert prioritization',
          'Enhance cross-team communication channels'
        ]
      });
    }

    return recommendations;
  }
}