What are the best security practices for Python Lambda functions?

What are the best security practices for Python Lambda functions?

To secure your Python Lambda functions, consider the following best practices: 1. Use IAM roles with the least privilege. 2. Validate input data to prevent injection attacks. 3. Enable logging and monitoring for auditing. 4. Use environment variables for sensitive information. 5. Regularly update your dependencies.

How can I manage secrets in my Lambda functions?

You can manage secrets in Lambda functions by using AWS Secrets Manager or AWS Systems Manager Parameter Store. Both services allow you to securely store and retrieve sensitive information.

What should I do if my Lambda function is compromised?

If your Lambda function is compromised, immediately revoke its IAM role permissions, investigate the breach, and rotate any exposed secrets. Review your logging for suspicious activity and consider implementing additional security measures.

Are there any tools to help with Lambda security?

Yes, tools like AWS Config, AWS CloudTrail, and third-party solutions like Snyk can help you monitor and enhance the security of your Lambda functions.