🤖 AI Features - PQ Crypta Documentation

🤖 AI-Powered Cryptographic Intelligence

PQ Crypta integrates cutting-edge artificial intelligence to enhance cryptographic operations, threat detection, and system optimization. Our AI features provide intelligent automation, predictive analytics, and adaptive security measures.

99.5%

Threat Detection

15x

Processing Speed

94%

Prediction Accuracy

24/7

Monitoring

🗣️ Natural Language Processing (NLP)

Advanced NLP capabilities for policy generation, documentation analysis, and intelligent text processing.

Sentiment Analysis

Security policy tone analysis
Threat intelligence sentiment scoring
User feedback classification
Risk communication assessment

Named Entity Recognition

Cryptographic algorithm identification
Security parameter extraction
Vulnerability name recognition
Protocol version detection

Document Intelligence

Security requirement analysis
Compliance document parsing
Policy generation automation
Technical specification review

// NLP Processing Example
const nlpProcessor = new NLPProcessor({
    models: ['sentiment-analysis', 'named-entity-recognition'],
    capabilities: ['policy-generation', 'requirement-analysis']
});

await nlpProcessor.analyzeSecurity({
    document: securityPolicy,
    extractEntities: true,
    generateRecommendations: true
});
                

🛡️ AI Threat Assessment

Intelligent threat detection and risk assessment using advanced machine learning models.

1

Data Collection

Real-time monitoring

2

Pattern Analysis

Anomaly detection

3

Risk Scoring

Threat classification

4

Response

Automated mitigation

Anomaly Detection

Network traffic analysis
Behavioral pattern recognition
Statistical outlier detection
Temporal anomaly identification

Attack Classification

SQL injection detection
XSS attack identification
Command injection analysis
Cryptographic weakness scanning

Predictive Analysis

Threat trend prediction
Attack vector forecasting
Security incident prediction
Risk escalation modeling

🔍 AI Vulnerability Detection

Automated vulnerability scanning and code analysis using AI-powered detection engines.

Static Code Analysis

Cryptographic implementation review
Hardcoded secret detection
Insecure algorithm identification
Code quality assessment

Dynamic Analysis

Runtime vulnerability detection
Memory safety analysis
Protocol implementation testing
Side-channel attack detection

Configuration Review

Security configuration analysis
Best practice compliance
Parameter validation
Automated remediation suggestions

// Vulnerability Detection Example
const threatPatterns = {
    'sql-injection': { 
        severity: 'high', 
        pattern: /(\bUNION\b|\bSELECT\b|\bDROP\b)/i 
    },
    'crypto-weakness': { 
        severity: 'high', 
        pattern: /\b(MD5|SHA1|DES|RC4|ECB)\b/i 
    },
    'hardcoded-secret': { 
        severity: 'critical', 
        pattern: /(password|secret|key)\s*[:=]\s*['"][^'"]{8,}/i 
    }
};
                

📈 Intelligent Performance Optimization

AI-driven performance analysis and optimization recommendations for cryptographic operations.

Performance Prediction

Algorithm performance forecasting
Resource usage prediction
Scalability analysis
Bottleneck identification

Optimization Recommendations

Algorithm selection guidance
Parameter tuning suggestions
Hardware utilization optimization
Caching strategy recommendations

Adaptive Intelligence

Real-time performance monitoring
Automatic parameter adjustment
Load balancing optimization
Self-healing system capabilities

🏗️ AI Model Architectures

Overview of the neural network architectures powering our AI features.

// AI Model Configuration
const aiModels = {
    'crypto-performance-predictor': {
        architecture: 'transformer',
        layers: 16,
        hiddenSize: 1024,
        attentionHeads: 16,
        accuracy: '99.5%'
    },
    'threat-detector': {
        architecture: 'graph-neural-network',
        layers: 12,
        graphLayers: 6,
        hiddenSize: 768,
        accuracy: '99.8%'
    },
    'vulnerability-scanner': {
        architecture: 'convolutional-neural-network',
        layers: 24,
        filterSizes: [3, 5, 7],
        pooling: 'attention',
        accuracy: '97.3%'
    }
};
                

🌐 AI/ML API Endpoints

RESTful API endpoints for integrating AI and ML capabilities into external applications.

POST /api/ai/analyze-threat

Analyze potential security threats using AI models.

{
  "data": "suspicious network activity log",
  "context": {
    "source": "external",
    "authenticated": false,
    "timeOfDay": 23
  }
}

// Response
{
  "threatLevel": "high",
  "confidence": 0.85,
  "anomalies": [...],
  "attackPatterns": [...],
  "riskScore": 0.76
}
                        

POST /api/ml/predict-performance

Predict cryptographic algorithm performance using ML models.

{
  "algorithm": "ML-KEM-1024",
  "dataSize": 1048576,
  "systemSpecs": {
    "cpu": "x64",
    "memory": 8192,
    "cores": 4
  }
}

// Response
{
  "prediction": {
    "throughput": 1250,
    "latency": 0.8,
    "confidence": 0.94
  }
}
                        

POST /api/ai/detect-vulnerabilities

Scan code or configuration for security vulnerabilities.

{
  "code": "password = 'hardcoded123'",
  "type": "javascript"
}

// Response
{
  "vulnerabilities": [
    {
      "id": "hardcoded-secret",
      "severity": "critical",
      "description": "Hardcoded secret detected",
      "location": 0,
      "evidence": "password = 'hardcoded123'"
    }
  ],
  "riskScore": 0.9
}
                        

POST /api/ml/recommend-algorithm

Get intelligent algorithm recommendations based on requirements.

{
  "requirements": {
    "securityLevel": "high",
    "performanceRequired": true,
    "dataType": "large-files",
    "quantumThreat": true
  }
}

// Response
{
  "recommendation": {
    "algorithm": "ML-KEM-1024",
    "confidence": 0.96,
    "reasoning": "High security with quantum resistance",
    "alternatives": ["hybrid", "multi-pq"]
  }
}
                        

Authentication

All AI/ML API endpoints require authentication using API keys.

// Headers required for all requests
{
  "Authorization": "Bearer your-api-key-here",
  "Content-Type": "application/json"
}
                        

Rate Limits

API rate limits ensure fair usage and system stability.

AI Analysis: 100 requests/hour
ML Predictions: 200 requests/hour
Vulnerability Scans: 50 requests/hour
Algorithm Recommendations: 100 requests/hour

🤖 AI Features Documentation