Best practices for securing your Agent Connect implementation
Implementing proper security and governance measures is critical when deploying AI agents in enterprise environments. This guide provides best practices for securing your Agent Connect implementation and ensuring compliance with organizational policies.
Only collect and process the data necessary for your agent to function:
Copy
Ask AI
function processUserMessage(message) { // Extract only the necessary information const sanitizedMessage = { content: message.content, // Exclude unnecessary or sensitive fields // e.g., message.personalData, message.location, etc. }; return processMessage(sanitizedMessage);}
Implement special handling for personally identifiable information (PII):
Copy
Ask AI
function detectAndRedactPII(text) { // Detect and redact email addresses text = text.replace(/[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g, '[EMAIL REDACTED]'); // Detect and redact phone numbers text = text.replace(/(\+\d{1,3}[\s-])?\(?\d{3}\)?[\s.-]?\d{3}[\s.-]?\d{4}/g, '[PHONE REDACTED]'); // Detect and redact SSNs text = text.replace(/\d{3}-\d{2}-\d{4}/g, '[SSN REDACTED]'); return text;}
This example is provided for illustrative purposes only. Implementations must incorporate business rules for PII handling as dictated by domain-specific requirements.
Implement content filtering to prevent harmful or inappropriate content:
Copy
Ask AI
async function filterContent(content) { // Check for harmful content const harmfulPatterns = [ /malware/i, /phishing/i, /exploit/i ]; for (const pattern of harmfulPatterns) { if (pattern.test(content)) { throw new Error('Content contains potentially harmful material'); } } // You can also use more sophisticated content filtering services // const moderationResult = await moderationService.checkContent(content); // if (moderationResult.flagged) { // throw new Error(`Content flagged: ${moderationResult.reason}`); // } return content;}
The provided patterns are simplified examples for demonstration purposes only. Content filtering implementation should be tailored to specific domain requirements.
Implement rate limiting to prevent abuse and denial of service attacks:
Copy
Ask AI
const rateLimit = require('express-rate-limit');// Basic rate limitingconst apiLimiter = rateLimit({ windowMs: 15 * 60 * 1000, // 15 minutes max: 100, // limit each IP to 100 requests per windowMs standardHeaders: true, // Return rate limit info in the `RateLimit-*` headers legacyHeaders: false, // Disable the `X-RateLimit-*` headers message: 'Too many requests from this IP, please try again after 15 minutes'});// Apply to all requestsapp.use(apiLimiter);// Or apply to specific endpointsapp.post('/v1/chat', apiLimiter, (req, res) => { // Process the request});