Amazon Transcribe is an AWS service that converts speech to text in batch or streaming mode using machine learning–powered automatic speech recognition (ASR), automatic language identification, and post-processing technologies. It can be used for transcription of various types of audio content, such as customer care calls, conference calls, voicemail messages, and subtitle generation for videos.
In this blog post, you will learn how to integrate Amazon Transcribe capabilities into your applications while meeting security requirements. Some customers trust Amazon Transcribe with confidential and proprietary data, while others may need to protect sensitive information to comply with regulations. The blog covers different security mechanisms Amazon Transcribe offers to protect customer data both in transit and at rest.
Here are seven security best practices for building applications with Amazon Transcribe:
1. Use data protection with Amazon Transcribe: Ensure data encryption in transit and at rest, following the AWS shared responsibility model.
2. Communicate over a private network path: Use VPC endpoints or AWS Direct Connect for private connectivity.
3. Redact sensitive data if needed: Amazon Transcribe supports redacting personally identifiable information (PII) to comply with regulations.
4. Use IAM roles for applications and AWS services: Avoid distributing long-term credentials by using temporary permissions.
5. Use tag-based access control: Implement access control using tags for better security.
6. Use AWS monitoring tools: Monitor and track Amazon Transcribe activity for security purposes.
7. Enable AWS Config: Ensure compliance by tracking configurations and changes made to Amazon Transcribe resources.
These best practices serve as guidelines and should be adjusted according to your specific security and compliance requirements. By following these recommendations, you can enhance the security of your applications using Amazon Transcribe.
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