Best practices for building secure applications with Amazon Transcribe
Machine Learning Blog
This article discusses best practices for building secure applications with Amazon Transcribe, an AWS service for converting speech to text.
Specifically, the article covers:
- Protecting data in transit and at rest using encryption
- Communicating over a private network path via VPC endpoints or AWS Direct Connect
- Redacting sensitive information like personally identifiable information (PII)
- Using IAM roles and tag-based access control
- Monitoring with CloudTrail and CloudWatch
- Enabling AWS Config for configuration compliance
- Compliance validation for programs like SOC, PCI, FedRAMP, and HIPAA
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Mar 6
2024
2024
Build a pseudonymization service on AWS to protect sensitive data: Part 2
Oct 17
2024
2024
Summarize call transcriptions securely with Amazon Transcribe and Amazon Bedrock Guardrails
Jan 24
2025
2025
Security best practices to consider while fine-tuning models in Amazon Bedrock
Oct 17
2025
2025
Securing Amazon Bedrock API keys: Best practices for implementation and management
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.