Security Guidelines
Follow these security best practices to protect your Ringg AI integration and user data
API Key Management
- Secure storage: Never expose your API key in client-side code, public repositories, or browser-accessible files.
- Environment variables: Store your API key in environment variables or secure configuration systems.
- Access control: Implement proper access controls to limit who can use your API key.
- Regular rotation: Rotate your API key periodically, especially after team member departures.
- Monitoring: Set up alerts for unusual API usage patterns that might indicate a compromised key.
Data Protection
- Minimize data collection: Only collect and transmit the data necessary for the assistant to function.
- Secure transmission: Always use HTTPS for API requests to ensure encrypted data transmission.
- Data retention: Implement appropriate data retention policies for call recordings and transcripts.
- User consent: Clearly inform users when calls are being recorded and obtain necessary consent.
- PII handling: Be cautious when handling Personally Identifiable Information (PII) and follow relevant regulations.
Web Integration Security
- Content Security Policy: Configure your CSP to allow only the necessary Ringg AI resources.
- Domain validation: Verify that your domains are properly whitelisted in the Ringg AI dashboard.
- Cross-site scripting protection: Implement proper input sanitization to prevent XSS attacks.
- Iframe protection: If embedding in an iframe, use appropriate sandbox attributes.
- CORS configuration: Ensure your CORS settings allow only necessary origins.
Authentication and Authorization
- Principle of least privilege: Grant only the minimum necessary permissions to systems and users.
- Regular audits: Periodically review who has access to your Ringg AI account and API keys.
- Strong passwords: Use strong, unique passwords for your Ringg AI account.
- Two-factor authentication: Enable 2FA if available for your Ringg AI account.
- Session management: Implement proper session timeouts and invalidation procedures.
Compliance Considerations
- Privacy regulations: Ensure your implementation complies with relevant privacy regulations (GDPR, CCPA, etc.).
- Industry standards: Follow industry-specific security standards if applicable (PCI DSS, HIPAA, etc.).
- Disclosure requirements: Clearly disclose to users that they are interacting with an AI assistant.
- Opt-out mechanisms: Provide clear ways for users to opt out of AI-powered calls.
- Documentation: Maintain documentation of your security measures and compliance efforts.