How to secure Generative AI applications

The advent of generative AI brings with it new challenges for security professionals. In this article, we've highlighted ten steps you can take to prepare your APIs and applications for the age of generative AI: 1. Conduct a thorough threat modeling exercise. 2. Implement strong API authentication and authorization measures. 3. Regularly review and update API access controls. 4. Use token-based authentication with short-lived tokens and long-lived refresh tokens. 5. Monitor your APIs for unusual or suspicious activity. 6. Ensure that all data transmitted over the network is encrypted using HTTPS or another secure protocol. 7. Limit the number of API requests allowed per user or IP address to prevent DoS attacks and conserve system resources. 8. Build and validate an API schema to prevent unauthorized access to sensitive data. 9. Analyze the depth and complexity of queries to identify potential security risks. 10. Communicate directly with your users about any security measures you implement and provide clear troubleshooting steps for resolving issues related to these measures. By following these recommendations, you can help protect your APIs and applications from malicious actors while still enabling the innovative use of generative AI technology by legitimate users.