Security Analytics and Intelligence

Security Analytics and Intelligence

Advanced analytics help identify threats that simple rule-based systems might miss.

// Security analytics platform
class SecurityAnalyticsPlatform {
    
    // Machine learning-based threat detection
    class MLThreatDetector {
        private val models = mapOf(
            "anomaly_detection" to loadAnomalyDetectionModel(),
            "threat_classification" to loadThreatClassificationModel(),
            "risk_scoring" to loadRiskScoringModel()
        )
        
        fun analyzeSecurityEvents(events: List<SecurityEvent>): ThreatAnalysis {
            // Feature extraction
            val features = FeatureExtractor.extract(events)
            
            // Anomaly detection
            val anomalies = models["anomaly_detection"]?.predict(features)
                ?.filter { it.anomalyScore > 0.8 }
                ?: emptyList()
            
            // Threat classification
            val threats = anomalies.mapNotNull { anomaly ->
                models["threat_classification"]?.classify(anomaly)
            }
            
            // Risk scoring
            val riskScore = models["risk_scoring"]?.calculateRisk(
                threats = threats,
                context = SecurityContext.current()
            ) ?: 0.0
            
            return ThreatAnalysis(
                anomalies = anomalies,
                threats = threats,
                riskScore = riskScore,
                recommendations = generateRecommendations(threats, riskScore)
            )
        }
        
        // Continuous model improvement
        fun updateModels(feedback: SecurityFeedback) {
            scope.launch {
                // Retrain models with new data
                val updatedModels = ModelTrainer.retrain(
                    currentModels = models,
                    newData = feedback.labeledEvents,
                    hyperparameters = optimizeHyperparameters()
                )
                
                // Validate before deployment
                if (validateModels(updatedModels)) {
                    deployModels(updatedModels)
                }
            }
        }
    }
    
    // Threat intelligence integration
    class ThreatIntelligenceHub {
        private val threatFeeds = listOf(
            OWASPThreatFeed(),
            CommercialThreatFeed(),
            OpenSourceIntelligence(),
            InternalThreatDatabase()
        )
        
        suspend fun enrichSecurityEvent(event: SecurityEvent): EnrichedSecurityEvent {
            val enrichments = coroutineScope {
                threatFeeds.map { feed ->
                    async {
                        feed.lookup(event)
                    }
                }.awaitAll()
            }
            
            return EnrichedSecurityEvent(
                originalEvent = event,
                threatIntel = enrichments.filterNotNull(),
                riskScore = calculateEnrichedRisk(event, enrichments),
                indicators = extractIndicators(enrichments)
            )
        }
        
        fun checkIOCs(indicators: List<Indicator>): List<ThreatMatch> {
            val matches = mutableListOf<ThreatMatch>()
            
            indicators.forEach { indicator ->
                threatFeeds.forEach { feed ->
                    feed.checkIOC(indicator)?.let { match ->
                        matches.add(match)
                    }
                }
            }
            
            return matches
        }
    }
    
    // Security metrics and KPIs
    class SecurityMetricsCollector {
        
        fun calculateSecurityMetrics(): SecurityMetrics {
            return SecurityMetrics(
                mttr = calculateMeanTimeToRespond(),
                mttd = calculateMeanTimeToDetect(),
                falsePositiveRate = calculateFalsePositiveRate(),
                incidentCount = getIncidentCount(),
                severityDistribution = getSeverityDistribution(),
                topThreats = getTopThreats(),
                complianceScore = calculateComplianceScore()
            )
        }
        
        private fun calculateMeanTimeToRespond(): Duration {
            val incidents = IncidentDatabase.getResolvedIncidents(
                TimeRange.last30Days()
            )
            
            val responseTimes = incidents.map { incident ->
                incident.resolvedAt - incident.detectedAt
            }
            
            return if (responseTimes.isNotEmpty()) {
                Duration.ofMillis(responseTimes.average().toLong())
            } else {
                Duration.ZERO
            }
        }
        
        fun generateExecutiveDashboard(): Dashboard {
            val metrics = calculateSecurityMetrics()
            
            return Dashboard(
                widgets = listOf(
                    MetricWidget(
                        title = "Security Score",
                        value = calculateOverallSecurityScore(),
                        trend = calculateTrend(Period.WEEK)
                    ),
                    ChartWidget(
                        title = "Incident Trend",
                        data = getIncidentTrend(Period.MONTH),
                        type = ChartType.LINE
                    ),
                    TableWidget(
                        title = "Top Threats",
                        headers = listOf("Threat", "Count", "Severity"),
                        rows = metrics.topThreats.map { threat ->
                            listOf(threat.name, threat.count.toString(), threat.severity)
                        }
                    ),
                    HeatmapWidget(
                        title = "Attack Geography",
                        data = getAttackGeography()
                    )
                )
            )
        }
    }
}