MCP AI Bridge

# Performance Optimization Plan ## 🎯 Objective Optimize the security validation system to achieve <2ms average validation time while maintaining security effectiveness for high-throughput production scenarios. ## 📊 Current Performance Analysis ### Baseline Metrics (from testing) - **Current Average**: 5-10ms per validation - **Long Prompts**: 50-100ms for 2000+ characters - **Concurrent Load**: Stable under 100 requests/second - **Memory Usage**: Pattern cache ~2MB per configuration ### Performance Bottlenecks Identified #### 1. Regex Pattern Matching (`security-optimized.js:213-227`) ```javascript // Current: Sequential pattern matching patterns.injection.forEach(pattern => { if (pattern.regex.test(text)) { matches.push(pattern); } }); ``` **Impact**: 2-5ms overhead per request **Cause**: Multiple regex executions on same text #### 2. Pattern Compilation **Impact**: 10-20ms on first request per configuration **Cause**: Runtime regex compilation #### 3. Configuration Hashing **Impact**: 1-2ms per validation **Cause**: JSON.stringify for cache key generation ## 🚀 Optimization Strategy ### Phase 1: Algorithmic Optimizations (Week 1) #### 1.1: Implement Multi-Pattern Matching Replace sequential pattern matching with optimized batch processing: ```javascript // New: Combined regex with named groups class OptimizedPatternMatcher { constructor(patterns) { this.combinedRegex = this.buildCombinedRegex(patterns); this.patternMap = this.buildPatternMap(patterns); } buildCombinedRegex(patterns) { // Combine all patterns into single regex with named capture groups const combined = patterns.map((pattern, index) => `(?<p${index}>${pattern.regex.source})` ).join('|'); return new RegExp(combined, 'gi'); } matchAll(text) { const matches = []; let match; // Single regex execution finds all matches while ((match = this.combinedRegex.exec(text)) !== null) { const patternIndex = this.getMatchingPatternIndex(match); matches.push({ pattern: this.patternMap[patternIndex], match: match[0], position: match.index }); } return matches; } } ``` **Expected Improvement**: 60-80% reduction in pattern matching time #### 1.2: Implement Fast Path Detection Add quick pre-screening to skip expensive validation: ```javascript class FastPathDetector { constructor() { // Simple string checks that can eliminate most safe content this.safeIndicators = [ 'what is', 'how does', 'can you explain', 'tell me about' ]; this.dangerKeywords = [ 'ignore', 'system:', 'bypass', 'override' ]; } canSkipDeepValidation(text) { const lowerText = text.toLowerCase(); // If contains safe indicators and no danger keywords, likely safe const hasSafeIndicators = this.safeIndicators.some(indicator => lowerText.includes(indicator) ); const hasDangerKeywords = this.dangerKeywords.some(keyword => lowerText.includes(keyword) ); return hasSafeIndicators && !hasDangerKeywords; } } ``` **Expected Improvement**: 30-50% of requests bypass complex validation #### 1.3: Optimize Configuration Hashing Replace JSON.stringify with faster hashing: ```javascript class FastConfigHash { static hash(config) { // Use simple string concatenation instead of JSON.stringify return [ config.SECURITY_LEVEL, config.DETECT_PROMPT_INJECTION ? '1' : '0', config.BLOCK_EXPLICIT_CONTENT ? '1' : '0', config.WHITELIST_PATTERNS || '' ].join('|'); } } ``` **Expected Improvement**: 90% reduction in cache key generation time ### Phase 2: Data Structure Optimizations (Week 2) #### 2.1: Pre-compiled Pattern Objects Eliminate runtime compilation overhead: ```javascript // Build-time pattern compilation class PrecompiledPatterns { static buildOptimizedPatterns() { const patterns = { // High-frequency patterns first for early termination critical: [ { id: 'system_injection', regex: /system\s*:\s*(you\s+are|act\s+as|pretend|forget|return)/i, compiled: true, priority: 1 } ], // Lower priority patterns standard: [...] }; return patterns; } } ``` #### 2.2: Implement Pattern Trie for String Matching For simple string patterns, use trie for O(m) instead of O(n*m) matching: ```javascript class PatternTrie { constructor() { this.root = {}; } addPattern(pattern, metadata) { let node = this.root; for (const char of pattern.toLowerCase()) { if (!node[char]) node[char] = {}; node = node[char]; } node.isEnd = true; node.metadata = metadata; } findMatches(text) { const matches = []; const lowerText = text.toLowerCase(); for (let i = 0; i < lowerText.length; i++) { const match = this.findMatchAt(lowerText, i); if (match) matches.push(match); } return matches; } } ``` ### Phase 3: Caching Optimizations (Week 2) #### 3.1: Implement Smart Cache Warming Pre-warm cache for common configurations: ```javascript class SmartCache { constructor() { this.cache = new Map(); this.hitStats = new Map(); this.warmCache(); } warmCache() { // Pre-compile patterns for common configurations const commonConfigs = [ { SECURITY_LEVEL: 'moderate', /* defaults */ }, { SECURITY_LEVEL: 'strict', /* all enabled */ }, { SECURITY_LEVEL: 'basic', /* minimal */ } ]; commonConfigs.forEach(config => { const key = FastConfigHash.hash(config); this.cache.set(key, this.compilePatterns(config)); }); } } ``` #### 3.2: Add Memory-Efficient Cache Eviction Implement LRU cache with memory limits: ```javascript class LRUPatternCache { constructor(maxSize = 10, maxMemory = 10 * 1024 * 1024) { // 10MB this.maxSize = maxSize; this.maxMemory = maxMemory; this.cache = new Map(); this.memoryUsage = 0; } set(key, value) { const size = this.estimateSize(value); // Evict if necessary while (this.cache.size >= this.maxSize || this.memoryUsage + size > this.maxMemory) { this.evictLRU(); } this.cache.set(key, value); this.memoryUsage += size; } } ``` ### Phase 4: Advanced Optimizations (Week 3) #### 4.1: Implement Async Pattern Compilation Move pattern compilation off the critical path: ```javascript class AsyncPatternCompiler { constructor() { this.compileQueue = []; this.isCompiling = false; } async getPatterns(config) { const cached = this.getCached(config); if (cached) return cached; // Return temporary fast patterns while compiling full set this.queueCompilation(config); return this.getFastPatterns(config); } queueCompilation(config) { this.compileQueue.push(config); if (!this.isCompiling) { setImmediate(() => this.processQueue()); } } } ``` #### 4.2: Add Performance Mode Configuration Allow trading security for performance in specific scenarios: ```javascript const PERFORMANCE_MODES = { MAXIMUM_SECURITY: { allPatternsEnabled: true, deepScanning: true, cacheStrategy: 'comprehensive' }, BALANCED: { essentialPatternsOnly: false, deepScanning: 'conditional', cacheStrategy: 'smart' }, MAXIMUM_PERFORMANCE: { essentialPatternsOnly: true, deepScanning: false, cacheStrategy: 'aggressive' } }; ``` ## 📊 Performance Testing Strategy ### Micro-benchmarks ```javascript // Individual component performance tests describe('Performance Benchmarks', () => { test('pattern matching under 1ms for typical prompt', () => { const prompt = 'What is machine learning?'; const start = performance.now(); validatePromptSecurity(prompt); const duration = performance.now() - start; expect(duration).toBeLessThan(1); }); test('handles 1000 validations in under 1 second', () => { const prompts = generateTestPrompts(1000); const start = performance.now(); prompts.forEach(prompt => validatePromptSecurity(prompt)); const duration = performance.now() - start; expect(duration).toBeLessThan(1000); }); }); ``` ### Load Testing ```javascript // Concurrent validation testing async function loadTest(concurrency = 100, duration = 30000) { const results = []; const endTime = Date.now() + duration; const workers = Array(concurrency).fill().map(async () => { while (Date.now() < endTime) { const start = performance.now(); await validatePromptSecurity(generateRandomPrompt()); results.push(performance.now() - start); } }); await Promise.all(workers); return { totalRequests: results.length, averageTime: results.reduce((a, b) => a + b) / results.length, p95: percentile(results, 95), p99: percentile(results, 99) }; } ``` ### Memory Profiling ```javascript function memoryProfile() { const initial = process.memoryUsage(); // Warm up cache with various configurations for (let i = 0; i < 100; i++) { validatePromptSecurity(`test prompt ${i}`); } const final = process.memoryUsage(); return { heapGrowth: final.heapUsed - initial.heapUsed, rssGrowth: final.rss - initial.rss }; } ``` ## 🎯 Performance Targets ### Response Time Targets - [ ] **Average validation**: <2ms (currently 5-10ms) - [ ] **95th percentile**: <5ms (currently 10-20ms) - [ ] **99th percentile**: <10ms (currently 20-50ms) - [ ] **Long prompts (2000+ chars)**: <25ms (currently 50-100ms) ### Throughput Targets - [ ] **Sustained load**: 1000 req/sec (currently 100 req/sec) - [ ] **Peak load**: 5000 req/sec for 30 seconds - [ ] **Memory efficiency**: <50MB for 10 different configurations ### Cache Performance - [ ] **Hit ratio**: >98% after warmup - [ ] **Cache warmup time**: <100ms - [ ] **Memory usage**: <20MB total cache size ## 🔧 Implementation Timeline ### Week 1: Core Optimizations - **Day 1-2**: Implement multi-pattern matching - **Day 3**: Add fast path detection - **Day 4**: Optimize configuration hashing - **Day 5**: Performance testing and validation ### Week 2: Data Structure Optimizations - **Day 1-2**: Pre-compiled pattern objects - **Day 3**: Pattern trie implementation - **Day 4-5**: Smart caching with LRU eviction ### Week 3: Advanced Features - **Day 1-2**: Async pattern compilation - **Day 3**: Performance mode configuration - **Day 4-5**: Comprehensive testing and benchmarking ## 📈 Monitoring and Metrics ### Runtime Metrics ```javascript class PerformanceMonitor { constructor() { this.metrics = { validationTimes: [], cacheHits: 0, cacheMisses: 0, patternMatches: new Map() }; } recordValidation(duration, cacheHit, patterns) { this.metrics.validationTimes.push(duration); if (cacheHit) this.metrics.cacheHits++; else this.metrics.cacheMisses++; patterns.forEach(pattern => { const count = this.metrics.patternMatches.get(pattern.id) || 0; this.metrics.patternMatches.set(pattern.id, count + 1); }); } getReport() { const times = this.metrics.validationTimes; return { averageTime: times.reduce((a, b) => a + b) / times.length, p95: percentile(times, 95), cacheHitRate: this.metrics.cacheHits / (this.metrics.cacheHits + this.metrics.cacheMisses), topPatterns: [...this.metrics.patternMatches.entries()] .sort((a, b) => b[1] - a[1]) .slice(0, 10) }; } } ``` ## 🚨 Risk Management ### Performance Regression Prevention - **Automated benchmarks** in CI/CD pipeline - **Performance budgets** that fail builds if exceeded - **A/B testing** for performance-critical changes ### Security Effectiveness Validation - **Security test suite** must pass 100% - **Side-by-side validation** during optimization - **Real-world attack pattern testing** ### Production Rollout Strategy - **Feature flags** for new optimizations - **Gradual traffic shifting** (10% → 50% → 100%) - **Real-time monitoring** with automatic rollback - **Performance dashboards** for operations team --- *This optimization plan will transform the security system into a high-performance, production-ready component capable of handling enterprise-scale workloads while maintaining security effectiveness.*