Why it matters
- The only way to access Claude and Llama models while keeping all data inside your AWS account and VPC — critical for regulated industries.
- Native AWS integrations: IAM for auth, CloudWatch for monitoring, VPC endpoints for network isolation, KMS for key management.
- Bedrock Agents provides a fully managed agentic framework with tool use and RAG knowledge bases without managing infrastructure.
- SOC 2 Type 2, HIPAA, FedRAMP High, GDPR — Bedrock inherits AWS's extensive compliance certifications.
Key capabilities
- Multi-model access: Claude/Haiku, Llama (8B/70B/405B), Mistral Large, Cohere Command R+, Amazon Titan — all from one AWS API.
- Bedrock Agents: Fully managed agent framework with knowledge bases, tool use (Lambda), and memory.
- Bedrock Knowledge Bases: Managed RAG with OpenSearch Serverless — upload documents, search automatically.
- Fine-tuning: Fine-tune Amazon Titan and Cohere models on custom datasets within your AWS environment.
- Model evaluation: Run automated evaluations on model outputs with human review workflows (Bedrock Evaluations).
- Guardrails: Content filtering, PII redaction, topic denial, and custom word filters applied across all models.
- Provisioned Throughput: Reserve dedicated model capacity for predictable performance in high-throughput production.
- Cross-region inference: Route requests to available capacity across AWS regions for higher reliability.
Technical notes
- Access: AWS SDK (Boto3 Python, AWS SDK JS); OpenAI-compatible endpoint via Bedrock Converse API
- Regions: US East/West, EU (Frankfurt, Ireland), APAC (Singapore, Tokyo, Sydney)
- Data residency: Inference within your selected AWS region; data never leaves your AWS account
- Compliance: HIPAA, SOC 2 Type 2, FedRAMP High, ISO 27001, GDPR, PCI DSS
- Pricing: Pay-per-token (On-Demand); Provisioned Throughput for reserved capacity; Batch for bulk processing
- Auth: AWS IAM roles and access keys — integrates with existing AWS access management
Ideal for
- Enterprises and regulated industries (healthcare, finance, government) that require all AI inference to stay within their AWS environment.
- Organizations already deeply invested in AWS who want to add AI capabilities without managing separate AI vendor relationships.
- Teams needing enterprise compliance certifications (FedRAMP, HIPAA) for their AI applications.
Not ideal for
- Startups or individual developers — direct Anthropic/OpenAI APIs are simpler and cheaper to start with.
- Teams needing the absolute latest models on day one — Bedrock sometimes lags behind direct provider releases.
- Organizations on Azure or GCP who prefer cloud-native AI services from their primary cloud provider.
See also
- Azure OpenAI — Microsoft's managed OpenAI service with Azure compliance features.
- Anthropic API — Direct access to Claude models without AWS overhead.
- OpenRouter — Multi-model API for teams that don't require cloud-native compliance.