Amazon Bedrock provides managed AI services, but security is still your responsibility. Here's how to configure it properly.
IAM Configuration
- Use least privilege principles
- Create specific roles for Bedrock access
- Implement permission boundaries
- Enable CloudTrail for API auditing
VPC Integration
- Use VPC endpoints for private access
- Configure security groups appropriately
- Enable VPC flow logs
- Consider private link for additional isolation
Logging and Monitoring
- Enable model invocation logging
- Configure CloudWatch alarms
- Set up cost anomaly detection
- Implement centralized log management
Data Protection
- Understand data handling for each model
- Configure appropriate regions
- Enable encryption
- Review and comply with model-specific terms
AWS Bedrock simplifies AI deployment but requires the same security diligence as any AWS service.
Marcus specializes in infrastructure automation and cloud-native security. He maintains several popular open-source Terraform modules and has architected deployments serving millions of users.
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