This document outlines the security measures implemented in the AI Marketing Swarms platform.

All user inputs are validated and sanitized using Zod schemas:

• Campaign inputs: Name, budget, dates, target audiences
• Creative inputs: Content, URLs, metadata
• API payloads: All external data is validated before processing

import { validateCampaignInput, schemas } from './security';

const result = validateCampaignInput(userInput);
if (!result.valid) {
  throw new Error(`Invalid input: ${result.errors.join(', ')}`);
}

• All database queries use parameterized queries
• Dynamic identifiers are sanitized via sanitizeSqlIdentifier()
• BigQuery queries use parameterized query format

• HTML content is sanitized via sanitizeHtml()
• All user-generated content is escaped before rendering

• Shell commands are never constructed from user input
• All paths are validated against traversal patterns

Sensitive data is managed through the SecretsManager:

import { createSecretsManager, SecretNames } from './security';

const secrets = createSecretsManager('production', 'project-id');
const apiKey = await secrets.getRequired(SecretNames.GOOGLE_ADS_API_KEY);

Best Practices:

• Never commit secrets to version control
• Use environment variables for development
• Use GCP Secret Manager for production
• Rotate secrets regularly

All security-relevant events are logged:

import { getAuditLogger } from './security';

const audit = getAuditLogger();

await audit.logDataAccess(
  { type: 'user', id: userId },
  { type: 'campaign', id: campaignId },
  'read'
);

Logged Events:

• Authentication attempts (success/failure)
• Authorization decisions
• Data access (read, export)
• Data modifications (create, update, delete)
• Configuration changes
• Security alerts

API endpoints are protected with rate limiting:

import { RateLimiter } from './security';

const limiter = new RateLimiter(100, 60000); // 100 requests per minute

if (!limiter.isAllowed(userId)) {
  throw new Error('Rate limit exceeded');
}

• API keys are required for all external requests
• Service accounts use GCP IAM for authorization
• Agent-to-agent communication uses internal tokens
• All tokens have expiration times

• All inputs validated with Zod schemas
• Sensitive data masked in logs
• No secrets in source code
• Dependencies regularly updated
• Security tests passing

• HTTPS enabled (TLS 1.3)
• GCP Secret Manager configured
• Cloud Armor WAF enabled
• VPC Service Controls configured
• Audit logs exported to SIEM

• Regular security audits
• Incident response plan tested
• Secret rotation scheduled
• Access reviews completed
• Penetration testing performed

If you discover a security vulnerability, please report it to:

1. Email: security@example.com
2. Do not create public GitHub issues for security vulnerabilities

This platform is designed to support:

• GDPR: Data privacy and protection
• SOC 2: Security and availability
• ISO 27001: Information security management
• PCI DSS: Payment card data protection (if applicable)

Security-relevant dependencies: