TypeScript AI Security: Building Fortress-Grade AI Applications

🔐 Compile-Time Security Validation

• Prevent common runtime errors that could expose vulnerabilities
• Enforce strict typing for API keys and sensitive configuration
• Validate AI model inputs and outputs at compile time
• Ensure proper error handling patterns

🛡️ Enhanced Code Quality

• Better IDE support for security-critical code
• Improved refactoring safety for AI integrations
• Clear interfaces for security middleware
• Documented security constraints through types

⚠️ Prompt Injection in TypeScript

Risk: Unvalidated user input leading to AI manipulation

// ❌ Vulnerable Code
const response = await openai.chat.completions.create({
  messages: [{ role: "user", content: userInput }] // Direct injection risk
});

// ✅ Secure Code with RESK-LLM-TS
import { SecureLLMClient } from 'resk-llm-ts';
const client = new SecureLLMClient({ apiKey: process.env.OPENAI_API_KEY });
const response = await client.secureChatCompletion({
  messages: [{ role: "user", content: userInput }],
  enablePromptFiltering: true
});

⚠️ API Key Exposure

Risk: Hardcoded or improperly stored API keys

// ❌ Vulnerable Code
const apiKey = "sk-1234567890abcdef"; // Hardcoded key

// ✅ Secure Code
interface SecureConfig {
  readonly apiKey: string;
  readonly environment: 'development' | 'production';
}

const config: SecureConfig = {
  apiKey: process.env.OPENAI_API_KEY!,
  environment: process.env.NODE_ENV as 'development' | 'production'
};

1. Secure Configuration Management

interface AISecurityConfig {
  readonly maxTokens: number;
  readonly allowedModels: readonly string[];
  readonly rateLimitPerMinute: number;
  readonly enableLogging: boolean;
}

const securityConfig: AISecurityConfig = {
  maxTokens: 4000,
  allowedModels: ['gpt-4', 'gpt-3.5-turbo'] as const,
  rateLimitPerMinute: 60,
  enableLogging: true
};

2. Input Validation with Type Guards

interface ValidatedPrompt {
  content: string;
  isSecure: boolean;
  sanitizedContent: string;
}

function isValidPrompt(input: unknown): input is ValidatedPrompt {
  return typeof input === 'object' &&
         input !== null &&
         'content' in input &&
         'isSecure' in input &&
         typeof (input as any).content === 'string' &&
         typeof (input as any).isSecure === 'boolean';
}

3. Secure Error Handling

type AIOperationResult<T> = 
  | { success: true; data: T }
  | { success: false; error: AISecurityError };

class AISecurityError extends Error {
  constructor(
    message: string,
    public readonly code: string,
    public readonly sanitized: boolean = true
  ) {
    super(message);
    this.name = 'AISecurityError';
  }
}

React/Next.js AI Security

• Implement CSP headers to prevent XSS attacks
• Use server-side API routes for AI calls
• Validate props with TypeScript interfaces
• Implement proper state management for sensitive data

Node.js/Express AI Security

• Use HTTPS for all AI API communications
• Implement rate limiting middleware
• Validate request bodies with strong typing
• Use security headers (helmet.js)