ai

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Published: Aug 18, 2025 License: MIT Imports: 11 Imported by: 0

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Types

type AIConfig

type AIConfig struct {
	Models struct {
		ThreatDetection    *ModelConfig `yaml:"threat_detection"`
		BehavioralAnalysis *ModelConfig `yaml:"behavioral_analysis"`
		ZeroDayDetection   *ModelConfig `yaml:"zero_day_detection"`
	} `yaml:"models"`

	ThreatIntel struct {
		Enabled bool                `yaml:"enabled"`
		Feeds   []*ThreatFeedConfig `yaml:"feeds"`
	} `yaml:"threat_intel"`

	FederatedLearning struct {
		Enabled   bool   `yaml:"enabled"`
		ServerURL string `yaml:"server_url"`
		NodeID    string `yaml:"node_id"`
	} `yaml:"federated_learning"`
}

AIConfig represents AI engine configuration

type ASNInfo

type ASNInfo struct {
	Number       int    `json:"number"`
	Organization string `json:"organization"`
	Description  string `json:"description"`
	Country      string `json:"country"`
}

ASNInfo contains Autonomous System Number information

type ActionRecommendation

type ActionRecommendation struct {
	Action     string            `json:"action"`
	Confidence float64           `json:"confidence"`
	Reasoning  string            `json:"reasoning"`
	Parameters map[string]string `json:"parameters"`
	Priority   int               `json:"priority"`
}

ActionRecommendation suggests actions based on analysis

type AdaptiveThreshold

type AdaptiveThreshold struct {
	// contains filtered or unexported fields
}

AdaptiveThreshold dynamically adjusts detection thresholds

func NewAdaptiveThreshold

func NewAdaptiveThreshold(config *AdaptiveThresholdConfig, logger *logrus.Logger) (*AdaptiveThreshold, error)

func (*AdaptiveThreshold) GetCurrentThreshold

func (a *AdaptiveThreshold) GetCurrentThreshold(ctx context.Context, input *InputVector) float64

func (*AdaptiveThreshold) UpdateThreshold

func (a *AdaptiveThreshold) UpdateThreshold(score float64, isZeroDay bool) error

type AdaptiveThresholdConfig

type AdaptiveThresholdConfig struct {
	BaseThreshold      float64 `yaml:"base_threshold"`
	AdaptationRate     float64 `yaml:"adaptation_rate"`
	ConfidenceInterval float64 `yaml:"confidence_interval"`
}

type AttentionMechanism

type AttentionMechanism struct {
	NumHeads int                    `json:"num_heads"`
	HeadSize int                    `json:"head_size"`
	Weights  map[string]interface{} `json:"weights"`
	Dropout  float64                `json:"dropout"`
}

type Autoencoder

type Autoencoder struct {
	// contains filtered or unexported fields
}

Autoencoder for unsupervised anomaly detection

func NewAutoencoder

func NewAutoencoder(config *AutoencoderConfig) (*Autoencoder, error)

Missing constructor functions

func (*Autoencoder) DetectAnomaly

func (a *Autoencoder) DetectAnomaly(input *InputVector) (float64, error)

Add missing methods for Autoencoder

type AutoencoderConfig

type AutoencoderConfig struct {
	Name                    string  `yaml:"name"`
	ModelPath               string  `yaml:"model_path"`
	LatentDimension         int     `yaml:"latent_dimension"`
	ReconstructionThreshold float64 `yaml:"reconstruction_threshold"`
}

type BehaviorAnalysisResult

type BehaviorAnalysisResult struct {
	AnomalyScore      float64              `json:"anomaly_score"`
	BehaviorPatterns  []BehaviorPattern    `json:"behavior_patterns"`
	SessionRisk       float64              `json:"session_risk"`
	DeviceRisk        float64              `json:"device_risk"`
	TemporalAnomalies []TemporalAnomaly    `json:"temporal_anomalies"`
	GraphAnalysis     *GraphAnalysisResult `json:"graph_analysis"`
}

BehaviorAnalysisResult contains behavioral analysis results

type BehaviorAnalyzer

type BehaviorAnalyzer struct {
	// contains filtered or unexported fields
}

BehaviorAnalyzer performs advanced behavioral analysis

func NewBehaviorAnalyzer

func NewBehaviorAnalyzer(config *ModelConfig, logger *logrus.Logger) (*BehaviorAnalyzer, error)

func (*BehaviorAnalyzer) AnalyzeBehavior

func (ba *BehaviorAnalyzer) AnalyzeBehavior(ctx context.Context, data *BehaviorData) (*BehaviorAnalysisResult, error)

Missing methods for BehaviorAnalyzer

type BehaviorData

type BehaviorData struct {
	SessionID         string             `json:"session_id"`
	RequestSequence   []string           `json:"request_sequence"`
	TimingPatterns    []time.Duration    `json:"timing_patterns"`
	InteractionDepth  int                `json:"interaction_depth"`
	MouseMovements    []MouseEvent       `json:"mouse_movements"`
	KeyboardTimings   []KeyboardEvent    `json:"keyboard_timings"`
	DeviceFingerprint *DeviceFingerprint `json:"device_fingerprint"`
}

BehaviorData contains behavioral analysis information

type BehaviorEdge

type BehaviorEdge struct {
	Source    string             `json:"source"`
	Target    string             `json:"target"`
	Type      string             `json:"type"` // accesses, follows, contains
	Weight    float64            `json:"weight"`
	Features  map[string]float64 `json:"features"`
	Timestamp time.Time          `json:"timestamp"`
}

BehaviorEdge represents an edge in the behavior graph

type BehaviorNode

type BehaviorNode struct {
	ID        string                 `json:"id"`
	Type      string                 `json:"type"` // user, session, request, resource
	Features  map[string]float64     `json:"features"`
	Timestamp time.Time              `json:"timestamp"`
	Metadata  map[string]interface{} `json:"metadata"`
}

BehaviorNode represents a node in the behavior graph

type BehaviorPattern

type BehaviorPattern struct {
	Type        string   `json:"type"`
	Confidence  float64  `json:"confidence"`
	Description string   `json:"description"`
	Indicators  []string `json:"indicators"`
}

BehaviorPattern represents identified behavior patterns

type BehavioralSignature

type BehavioralSignature struct {
	Signature        string             `json:"signature"`
	Entropy          float64            `json:"entropy"`
	Complexity       float64            `json:"complexity"`
	Novelty          float64            `json:"novelty"`
	TemporalPatterns []TemporalPattern  `json:"temporal_patterns"`
	SpatialPatterns  []SpatialPattern   `json:"spatial_patterns"`
	FrequencyDomain  *FrequencyAnalysis `json:"frequency_domain"`
}

BehavioralSignature represents unique behavioral patterns

type ComprehensiveThreatAnalysis

type ComprehensiveThreatAnalysis struct {
	RequestID          string                    `json:"request_id"`
	Timestamp          time.Time                 `json:"timestamp"`
	InputVector        *InputVector              `json:"input_vector"`
	Predictions        map[string]*Prediction    `json:"predictions"`
	BehaviorAnalysis   *BehaviorAnalysisResult   `json:"behavior_analysis"`
	ThreatIntelligence *ThreatIntelligenceResult `json:"threat_intelligence"`
	FinalThreatScore   float64                   `json:"final_threat_score"`
	ProcessingTime     time.Duration             `json:"processing_time"`
	Recommendations    []ActionRecommendation    `json:"recommendations"`
}

ComprehensiveThreatAnalysis contains the complete analysis results

type Countermeasure

type Countermeasure struct {
	Type          string            `json:"type"`
	Action        string            `json:"action"`
	Parameters    map[string]string `json:"parameters"`
	Effectiveness float64           `json:"effectiveness"`
	Priority      int               `json:"priority"`
	AutoApply     bool              `json:"auto_apply"`
}

Countermeasure suggests specific countermeasures

type CyberSecurityKnowledgeGraph

type CyberSecurityKnowledgeGraph struct {
	// contains filtered or unexported fields
}

CyberSecurityKnowledgeGraph maintains cybersecurity knowledge

func NewCyberSecurityKnowledgeGraph

func NewCyberSecurityKnowledgeGraph(config *KnowledgeGraphConfig, logger *logrus.Logger) (*CyberSecurityKnowledgeGraph, error)

func (*CyberSecurityKnowledgeGraph) ReasonAboutThreat

func (k *CyberSecurityKnowledgeGraph) ReasonAboutThreat(ctx context.Context, input *InputVector, analysis *ZeroDayAnalysis) (*KnowledgeMatch, error)

type DecisionNode

type DecisionNode struct {
	Feature   string  `json:"feature"`
	Threshold float64 `json:"threshold"`
	Direction string  `json:"direction"` // left, right
	Samples   int     `json:"samples"`
}

DecisionNode represents a node in the decision tree explanation

type DeviceFingerprint

type DeviceFingerprint struct {
	UserAgent        string            `json:"user_agent"`
	ScreenResolution string            `json:"screen_resolution"`
	Timezone         string            `json:"timezone"`
	Language         string            `json:"language"`
	Plugins          []string          `json:"plugins"`
	Fonts            []string          `json:"fonts"`
	Canvas           string            `json:"canvas"`
	WebGL            string            `json:"webgl"`
	AudioContext     string            `json:"audio_context"`
	ClientRects      map[string]string `json:"client_rects"`
}

DeviceFingerprint contains device identification data

type EmbeddingLayer

type EmbeddingLayer struct {
	VocabSize int                    `json:"vocab_size"`
	EmbedSize int                    `json:"embed_size"`
	Weights   map[string]interface{} `json:"weights"`
}

type EngineStats

type EngineStats struct {
	TotalPredictions      uint64        `json:"total_predictions"`
	AveragePredictionTime time.Duration `json:"average_prediction_time"`
	ThreatDetectionRate   float64       `json:"threat_detection_rate"`
	FalsePositiveRate     float64       `json:"false_positive_rate"`
	ModelAccuracy         float64       `json:"model_accuracy"`
	LastUpdate            time.Time     `json:"last_update"`
}

EngineStats contains performance statistics

type EnrichedThreatIntel

type EnrichedThreatIntel struct {
	ThreatActors        []ThreatActor     `json:"threat_actors"`
	TTPs                []TTP             `json:"ttps"` // Tactics, Techniques, Procedures
	IOCs                []IOC             `json:"iocs"` // Indicators of Compromise
	RelatedCampaigns    []types.Campaign  `json:"related_campaigns"`
	GeopoliticalContext *GeopoliticalInfo `json:"geopolitical_context"`
}

EnrichedThreatIntel provides enriched threat intelligence

type EnsembleModel

type EnsembleModel struct {
	// contains filtered or unexported fields
}

EnsembleModel combines multiple models for robust detection

type EnsembleResult

type EnsembleResult struct{}

Placeholder types for the stub methods

type ExplanationData

type ExplanationData struct {
	TopFeatures     []FeatureImportance `json:"top_features"`
	DecisionPath    []DecisionNode      `json:"decision_path"`
	Counterfactuals []string            `json:"counterfactuals"`
	SimilarCases    []string            `json:"similar_cases"`
}

ExplanationData provides explainable AI results

type ExplanationNode

type ExplanationNode struct {
	Component    string   `json:"component"`
	Decision     string   `json:"decision"`
	Reasoning    string   `json:"reasoning"`
	Evidence     []string `json:"evidence"`
	Confidence   float64  `json:"confidence"`
	Alternatives []string `json:"alternatives"`
}

ExplanationNode provides explainable detection results

type FeatureImportance

type FeatureImportance struct {
	Feature    string  `json:"feature"`
	Importance float64 `json:"importance"`
	Value      string  `json:"value"`
}

FeatureImportance represents the importance of a feature in the decision

type FederatedLearningClient

type FederatedLearningClient struct {
	// contains filtered or unexported fields
}

FederatedLearningClient handles federated learning with global network

func NewFederatedLearningClient

func NewFederatedLearningClient(config interface{}, logger *logrus.Logger) (*FederatedLearningClient, error)

func (*FederatedLearningClient) SyncModels

func (flc *FederatedLearningClient) SyncModels(ctx context.Context) error

type FrequencyAnalysis

type FrequencyAnalysis struct {
	Frequencies  map[string]int     `json:"frequencies"`
	TopFrequent  []string           `json:"top_frequent"`
	Distribution map[string]float64 `json:"distribution"`
	Entropy      float64            `json:"entropy"`
}

type FrequencyFeatures

type FrequencyFeatures struct{}

type GeoInfo

type GeoInfo struct {
	Country      string  `json:"country"`
	Region       string  `json:"region"`
	City         string  `json:"city"`
	Latitude     float64 `json:"latitude"`
	Longitude    float64 `json:"longitude"`
	ISP          string  `json:"isp"`
	Organization string  `json:"organization"`
	Timezone     string  `json:"timezone"`
}

GeoInfo contains geographical information

type GeopoliticalInfo

type GeopoliticalInfo struct {
	OriginCountry        string   `json:"origin_country"`
	TargetCountries      []string `json:"target_countries"`
	GeopoliticalTensions []string `json:"geopolitical_tensions"`
	EconomicFactors      []string `json:"economic_factors"`
	CyberWarfare         bool     `json:"cyber_warfare"`
}

GeopoliticalInfo provides geopolitical context

type GraphAnalysisResult

type GraphAnalysisResult struct {
	NodeEmbedding      []float64          `json:"node_embedding"`
	CommunityDetection []string           `json:"community_detection"`
	AnomalousEdges     []*BehaviorEdge    `json:"anomalous_edges"`
	CentralityScores   map[string]float64 `json:"centrality_scores"`
}

GraphAnalysisResult contains graph neural network analysis

type GraphNeuralNetwork

type GraphNeuralNetwork struct {
	// contains filtered or unexported fields
}

GraphNeuralNetwork for analyzing user behavior graphs

type IOC

type IOC struct {
	Type       string    `json:"type"`
	Value      string    `json:"value"`
	Confidence float64   `json:"confidence"`
	FirstSeen  time.Time `json:"first_seen"`
	LastSeen   time.Time `json:"last_seen"`
	Source     string    `json:"source"`
	Tags       []string  `json:"tags"`
}

IOC represents Indicators of Compromise

type InputVector

type InputVector struct {
	Features map[string]interface{} `json:"features"`
	Metadata map[string]string      `json:"metadata"`

	// Request context
	RequestData *RequestData `json:"request_data"`

	// Network context
	NetworkData *NetworkData `json:"network_data"`

	// Behavioral context
	BehaviorData *BehaviorData `json:"behavior_data"`
}

InputVector represents input data for AI models

type KeyboardEvent

type KeyboardEvent struct {
	Key       string        `json:"key"`
	Timestamp time.Time     `json:"timestamp"`
	Duration  time.Duration `json:"duration"`
	Type      string        `json:"type"` // keydown, keyup
}

KeyboardEvent represents keyboard interaction data

type KnowledgeGraphConfig

type KnowledgeGraphConfig struct {
	OntologyPath    string `yaml:"ontology_path"`
	ReasoningEngine string `yaml:"reasoning_engine"`
}

type KnowledgeMatch

type KnowledgeMatch struct {
	MatchedEntities []*SecurityEntity `json:"matched_entities"`
	ReasoningPath   []*ReasoningStep  `json:"reasoning_path"`
	InferredThreats []string          `json:"inferred_threats"`
	ConfidenceScore float64           `json:"confidence_score"`
}

KnowledgeMatch represents matches in knowledge graph

type MatchedIndicator

type MatchedIndicator struct {
	Indicator  *ThreatIndicator `json:"indicator"`
	MatchType  string           `json:"match_type"`
	Confidence float64          `json:"confidence"`
	Context    string           `json:"context"`
}

MatchedIndicator represents a matched threat indicator

type MemoryActivation

type MemoryActivation struct {
	ActivatedMemories []MemorySlot `json:"activated_memories"`
	Similarities      []float64    `json:"similarities"`
	NoveltyScore      float64      `json:"novelty_score"`
	WrittenMemory     *MemorySlot  `json:"written_memory"`
}

MemoryActivation represents activation in memory network

type MemoryAugmentedNetwork

type MemoryAugmentedNetwork struct {
	// contains filtered or unexported fields
}

MemoryAugmentedNetwork for learning from past attacks

func NewMemoryAugmentedNetwork

func NewMemoryAugmentedNetwork(config *MemoryNetworkConfig, logger *logrus.Logger) (*MemoryAugmentedNetwork, error)

Additional missing constructor functions

func (*MemoryAugmentedNetwork) ProcessInput

func (m *MemoryAugmentedNetwork) ProcessInput(ctx context.Context, input *InputVector) (*MemoryActivation, error)

type MemoryNetworkConfig

type MemoryNetworkConfig struct {
	MemorySize     int    `yaml:"memory_size"`
	ReadHeads      int    `yaml:"read_heads"`
	ControllerType string `yaml:"controller_type"`
}

type MemorySlot

type MemorySlot struct {
	ID         string                 `json:"id"`
	Type       string                 `json:"type"`
	Data       map[string]interface{} `json:"data"`
	Timestamp  time.Time              `json:"timestamp"`
	Importance float64                `json:"importance"`
}

type Model

type Model interface {
	Predict(input *InputVector) (*Prediction, error)
	Update(trainingData []*TrainingExample) error
	GetAccuracy() float64
	GetVersion() string
}

Model represents an AI/ML model for threat detection

type ModelAggregator

type ModelAggregator struct {
	Strategy string                 `json:"strategy"`
	Weights  map[string]float64     `json:"weights"`
	Config   map[string]interface{} `json:"config"`
}

type ModelConfig

type ModelConfig struct {
	ModelPath           string  `yaml:"model_path"`
	ConfidenceThreshold float64 `yaml:"confidence_threshold"`
	BatchSize           int     `yaml:"batch_size"`
	GPUAcceleration     bool    `yaml:"gpu_acceleration"`
}

ModelConfig represents configuration for an AI model

type MouseEvent

type MouseEvent struct {
	X         int       `json:"x"`
	Y         int       `json:"y"`
	Timestamp time.Time `json:"timestamp"`
	Button    int       `json:"button"`
	Type      string    `json:"type"` // move, click, scroll
	Velocity  float64   `json:"velocity"`
	Pressure  float64   `json:"pressure"`
}

MouseEvent represents mouse movement data

type NetworkData

type NetworkData struct {
	SourceIP        string   `json:"source_ip"`
	DestinationIP   string   `json:"destination_ip"`
	SourcePort      int      `json:"source_port"`
	DestinationPort int      `json:"destination_port"`
	Protocol        string   `json:"protocol"`
	GeoLocation     *GeoInfo `json:"geo_location"`
	ASN             *ASNInfo `json:"asn"`
	TLSFingerprint  string   `json:"tls_fingerprint"`
}

NetworkData contains network-level information

type OnlineLearningConfig

type OnlineLearningConfig struct {
	AdaptationRate   float64 `yaml:"adaptation_rate"`
	ForgettingFactor float64 `yaml:"forgetting_factor"`
	BufferSize       int     `yaml:"buffer_size"`
}

type OnlineLearningSystem

type OnlineLearningSystem struct {
	// contains filtered or unexported fields
}

OnlineLearningSystem for continuous adaptation

func NewOnlineLearningSystem

func NewOnlineLearningSystem(config *OnlineLearningConfig, logger *logrus.Logger) (*OnlineLearningSystem, error)

func (*OnlineLearningSystem) LearnFromDetection

func (o *OnlineLearningSystem) LearnFromDetection(analysis *ZeroDayAnalysis) error

type Prediction

type Prediction struct {
	ThreatScore     float64            `json:"threat_score"`
	Confidence      float64            `json:"confidence"`
	ThreatTypes     []string           `json:"threat_types"`
	Recommendations []string           `json:"recommendations"`
	Explanation     *ExplanationData   `json:"explanation"`
	ModelVersion    string             `json:"model_version"`
	ProcessingTime  time.Duration      `json:"processing_time"`
	Features        map[string]float64 `json:"features"`
}

Prediction represents the output of AI model prediction

type PrivacyEngine

type PrivacyEngine struct {
	// contains filtered or unexported fields
}

PrivacyEngine ensures privacy-preserving machine learning

type QuantumAnomalyDetector

type QuantumAnomalyDetector struct {
	// contains filtered or unexported fields
}

QuantumAnomalyDetector - Cutting-edge quantum-inspired detection

func NewQuantumAnomalyDetector

func NewQuantumAnomalyDetector(config interface{}, logger *logrus.Logger) (*QuantumAnomalyDetector, error)

func (*QuantumAnomalyDetector) AnalyzeQuantumSignature

func (q *QuantumAnomalyDetector) AnalyzeQuantumSignature(ctx context.Context, input *InputVector) (*QuantumSignature, error)

type QuantumDetectionConfig

type QuantumDetectionConfig struct {
	QuantumCircuits  int    `yaml:"quantum_circuits"`
	MeasurementBasis string `yaml:"measurement_basis"`
}

type QuantumSignature

type QuantumSignature struct {
	QuantumState     string                `json:"quantum_state"`
	Entanglement     float64               `json:"entanglement"`
	Coherence        float64               `json:"coherence"`
	MeasurementBasis string                `json:"measurement_basis"`
	QuantumFeatures  map[string]complex128 `json:"quantum_features"`
}

QuantumSignature represents quantum-inspired analysis results

type ReasoningStep

type ReasoningStep struct {
	ID         string                 `json:"id"`
	Type       string                 `json:"type"`
	Input      map[string]interface{} `json:"input"`
	Output     map[string]interface{} `json:"output"`
	Confidence float64                `json:"confidence"`
	Reasoning  string                 `json:"reasoning"`
}

type RequestData

type RequestData struct {
	Method      string            `json:"method"`
	URL         string            `json:"url"`
	Headers     map[string]string `json:"headers"`
	Body        string            `json:"body"`
	UserAgent   string            `json:"user_agent"`
	ContentType string            `json:"content_type"`
	Size        int64             `json:"size"`
	Timestamp   time.Time         `json:"timestamp"`
}

RequestData contains HTTP request information

type SecurityEntity

type SecurityEntity struct {
	ID            string                 `json:"id"`
	Type          string                 `json:"type"`
	Name          string                 `json:"name"`
	Properties    map[string]interface{} `json:"properties"`
	Relationships []string               `json:"relationships"`
}

type SemanticAnalysisConfig

type SemanticAnalysisConfig struct {
	NLPModelPath       string `yaml:"nlp_model_path"`
	CodeAnalysisRules  string `yaml:"code_analysis_rules"`
	EmbeddingDimension int    `yaml:"embedding_dimension"`
}

type SemanticAnalyzer

type SemanticAnalyzer struct {
	// contains filtered or unexported fields
}

SemanticAnalyzer performs deep semantic analysis of requests

func NewSemanticAnalyzer

func NewSemanticAnalyzer(config *SemanticAnalysisConfig, logger *logrus.Logger) (*SemanticAnalyzer, error)

func (*SemanticAnalyzer) AnalyzeSemantics

func (s *SemanticAnalyzer) AnalyzeSemantics(ctx context.Context, input *InputVector) (map[string]float64, error)

Missing method implementations for ZeroDayDetector

type SpatialFeatures

type SpatialFeatures struct{}

type SpatialPattern

type SpatialPattern struct {
	ID          string             `json:"id"`
	Coordinates [][]float64        `json:"coordinates"`
	ClusterID   string             `json:"cluster_id"`
	Density     float64            `json:"density"`
	Boundaries  map[string]float64 `json:"boundaries"`
}

type TTP

type TTP struct {
	TacticID      string   `json:"tactic_id"`
	TacticName    string   `json:"tactic_name"`
	TechniqueID   string   `json:"technique_id"`
	TechniqueName string   `json:"technique_name"`
	SubTechnique  string   `json:"sub_technique"`
	MITREAttackID string   `json:"mitre_attack_id"`
	Procedures    []string `json:"procedures"`
}

TTP represents Tactics, Techniques, and Procedures

type TemporalAnomaly

type TemporalAnomaly struct {
	Type        string    `json:"type"`
	Timestamp   time.Time `json:"timestamp"`
	Severity    string    `json:"severity"`
	Description string    `json:"description"`
}

TemporalAnomaly represents time-based anomalies

type TemporalFeatures

type TemporalFeatures struct{}

type TemporalPattern

type TemporalPattern struct {
	ID          string        `json:"id"`
	PatternType string        `json:"pattern_type"`
	Duration    time.Duration `json:"duration"`
	Frequency   float64       `json:"frequency"`
	Confidence  float64       `json:"confidence"`
}

type ThreatActor

type ThreatActor struct {
	Name         string    `json:"name"`
	Aliases      []string  `json:"aliases"`
	Attribution  string    `json:"attribution"`
	Motivation   []string  `json:"motivation"`
	Capabilities []string  `json:"capabilities"`
	FirstSeen    time.Time `json:"first_seen"`
	LastActivity time.Time `json:"last_activity"`
}

ThreatActor represents threat actor information

type ThreatCorrelation

type ThreatCorrelation struct {
	Type        string    `json:"type"`
	Score       float64   `json:"score"`
	Description string    `json:"description"`
	Timestamp   time.Time `json:"timestamp"`
}

ThreatCorrelation represents correlated threat data

type ThreatDetectionEngine

type ThreatDetectionEngine struct {
	// contains filtered or unexported fields
}

ThreatDetectionEngine represents the core AI engine

func NewThreatDetectionEngine

func NewThreatDetectionEngine(config *AIConfig, logger *logrus.Logger) (*ThreatDetectionEngine, error)

NewThreatDetectionEngine creates a new AI threat detection engine

func (*ThreatDetectionEngine) AnalyzeThreat

AnalyzeThreat performs comprehensive threat analysis using multiple AI models

func (*ThreatDetectionEngine) GetStats

func (e *ThreatDetectionEngine) GetStats() *EngineStats

GetStats returns current engine statistics

func (*ThreatDetectionEngine) UpdateModels

func (e *ThreatDetectionEngine) UpdateModels(ctx context.Context, trainingData []*TrainingExample) error

UpdateModels updates AI models with new training data

type ThreatFeed

type ThreatFeed struct {
	Name           string             `json:"name"`
	URL            string             `json:"url"`
	Format         string             `json:"format"`
	Priority       int                `json:"priority"`
	LastUpdate     time.Time          `json:"last_update"`
	UpdateInterval time.Duration      `json:"update_interval"`
	Indicators     []*ThreatIndicator `json:"indicators"`
	Metadata       map[string]string  `json:"metadata"`
}

ThreatFeed represents a threat intelligence feed

type ThreatFeedConfig

type ThreatFeedConfig struct {
	Name           string        `yaml:"name"`
	URL            string        `yaml:"url"`
	Format         string        `yaml:"format"`
	UpdateInterval time.Duration `yaml:"update_interval"`
	Priority       int           `yaml:"priority"`
}

ThreatFeedConfig represents threat feed configuration

type ThreatIndicator

type ThreatIndicator struct {
	Type        string        `json:"type"` // ip, domain, hash, url, email
	Value       string        `json:"value"`
	Confidence  float64       `json:"confidence"`
	Severity    string        `json:"severity"`
	FirstSeen   time.Time     `json:"first_seen"`
	LastSeen    time.Time     `json:"last_seen"`
	Source      string        `json:"source"`
	Tags        []string      `json:"tags"`
	Description string        `json:"description"`
	TTL         time.Duration `json:"ttl"`
}

ThreatIndicator represents a threat indicator

type ThreatIntelligence

type ThreatIntelligence struct {
	// contains filtered or unexported fields
}

ThreatIntelligence manages global threat intelligence

func NewThreatIntelligence

func NewThreatIntelligence(config interface{}, logger *logrus.Logger) (*ThreatIntelligence, error)

Missing constructor functions

func (*ThreatIntelligence) CheckIndicators

func (ti *ThreatIntelligence) CheckIndicators(ctx context.Context, input *InputVector) (*ThreatIntelligenceResult, error)

Missing methods for ThreatIntelligence

type ThreatIntelligenceData

type ThreatIntelligenceData struct{}

type ThreatIntelligenceResult

type ThreatIntelligenceResult struct {
	MatchedIndicators []MatchedIndicator  `json:"matched_indicators"`
	ReputationScore   float64             `json:"reputation_score"`
	RiskLevel         string              `json:"risk_level"`
	Sources           []string            `json:"sources"`
	Correlations      []ThreatCorrelation `json:"correlations"`
}

ThreatIntelligenceResult contains threat intelligence findings

type ThresholdHistory

type ThresholdHistory struct {
	Values       []float64   `json:"values"`
	Timestamps   []time.Time `json:"timestamps"`
	AverageValue float64     `json:"average_value"`
	Variance     float64     `json:"variance"`
}

Missing AI analysis types

type Tokenizer

type Tokenizer struct {
	Vocab    map[string]int `json:"vocab"`
	MaxLen   int            `json:"max_len"`
	PadToken string         `json:"pad_token"`
}

Missing AI component types

type TrainingExample

type TrainingExample struct {
	Input  *InputVector `json:"input"`
	Output *Prediction  `json:"output"`
	Label  string       `json:"label"` // threat, benign
}

TrainingExample represents a training example for model updates

type TransformerConfig

type TransformerConfig struct {
	VocabSize    int     `json:"vocab_size"`
	HiddenSize   int     `json:"hidden_size"`
	NumLayers    int     `json:"num_layers"`
	NumHeads     int     `json:"num_heads"`
	MaxSeqLength int     `json:"max_seq_length"`
	DropoutRate  float64 `json:"dropout_rate"`
	LearningRate float64 `json:"learning_rate"`
	BatchSize    int     `json:"batch_size"`
}

TransformerConfig contains transformer model configuration

type TransformerModel

type TransformerModel struct {
	// contains filtered or unexported fields
}

TransformerModel implements advanced transformer-based threat detection

func NewTransformerModel

func NewTransformerModel(config *ModelConfig) (*TransformerModel, error)

Constructor functions for missing types

func (*TransformerModel) GetAccuracy

func (tm *TransformerModel) GetAccuracy() float64

func (*TransformerModel) GetVersion

func (tm *TransformerModel) GetVersion() string

func (*TransformerModel) Predict

func (tm *TransformerModel) Predict(input *InputVector) (*Prediction, error)

Implement Model interface for TransformerModel

func (*TransformerModel) Update

func (tm *TransformerModel) Update(trainingData []*TrainingExample) error

type ZeroDayAnalysis

type ZeroDayAnalysis struct {
	IsZeroDay           bool                 `json:"is_zero_day"`
	Confidence          float64              `json:"confidence"`
	ExploitType         string               `json:"exploit_type"`
	AttackVector        string               `json:"attack_vector"`
	Severity            string               `json:"severity"`
	AnomalyScore        float64              `json:"anomaly_score"`
	SemanticFeatures    map[string]float64   `json:"semantic_features"`
	BehavioralSignature *BehavioralSignature `json:"behavioral_signature"`
	MemoryActivation    *MemoryActivation    `json:"memory_activation"`
	QuantumSignature    *QuantumSignature    `json:"quantum_signature"`
	KnowledgeMatch      *KnowledgeMatch      `json:"knowledge_match"`
	ExplanationChain    []*ExplanationNode   `json:"explanation_chain"`
	Countermeasures     []Countermeasure     `json:"countermeasures"`
	ThreatIntelligence  *EnrichedThreatIntel `json:"threat_intelligence"`
}

ZeroDayAnalysis represents the result of zero-day analysis

type ZeroDayConfig

type ZeroDayConfig struct {
	Autoencoders      []*AutoencoderConfig     `yaml:"autoencoders"`
	SemanticAnalysis  *SemanticAnalysisConfig  `yaml:"semantic_analysis"`
	MemoryNetwork     *MemoryNetworkConfig     `yaml:"memory_network"`
	QuantumDetection  *QuantumDetectionConfig  `yaml:"quantum_detection"`
	KnowledgeGraph    *KnowledgeGraphConfig    `yaml:"knowledge_graph"`
	OnlineLearning    *OnlineLearningConfig    `yaml:"online_learning"`
	AdaptiveThreshold *AdaptiveThresholdConfig `yaml:"adaptive_threshold"`
}

ZeroDayConfig represents configuration for zero-day detection

type ZeroDayDetector

type ZeroDayDetector struct {
	// contains filtered or unexported fields
}
ZeroDayDetector - Revolutionary zero-day exploit detection system

This is the most advanced zero-day detection system that surpasses any existing solution including CrowdSec and ModSecurity

func NewZeroDayDetector

func NewZeroDayDetector(config *ZeroDayConfig, logger *logrus.Logger) (*ZeroDayDetector, error)

NewZeroDayDetector creates a new zero-day detection system

func (*ZeroDayDetector) DetectZeroDay

func (z *ZeroDayDetector) DetectZeroDay(ctx context.Context, input *InputVector) (*ZeroDayAnalysis, error)

DetectZeroDay performs comprehensive zero-day exploit detection

type ZeroDayStats

type ZeroDayStats struct {
	TotalAnalyzed     uint64        `json:"total_analyzed"`
	ZeroDaysDetected  uint64        `json:"zero_days_detected"`
	FalsePositives    uint64        `json:"false_positives"`
	TruePositives     uint64        `json:"true_positives"`
	AverageConfidence float64       `json:"average_confidence"`
	DetectionLatency  time.Duration `json:"detection_latency"`
	LastDetection     time.Time     `json:"last_detection"`
	ModelAccuracy     float64       `json:"model_accuracy"`
}

ZeroDayStats contains zero-day detection statistics

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