What is AWS Bedrock?

AWS Bedrock has become the preferred AI deployment platform for many regulated UK businesses because it solves the fundamental tension between model capability and data control. You get access to the same foundation models available through public APIs, but the processing happens within your AWS account, in the region you specify, with your data never retained by the model provider.

The technical architecture is significant. When you call a model through Bedrock, your data is encrypted in transit, processed on isolated compute within the AWS infrastructure, and returned to your application. The model provider, whether Anthropic, Meta, or Mistral, does not receive or retain your data. AWS provides contractual commitments that data processed through Bedrock in the EU West London region remains within the UK, which directly supports data sovereignty requirements.

Bedrock offers several capabilities beyond basic model access. Knowledge Bases provides managed RAG infrastructure, allowing you to point the service at your document repositories and get a retrieval-augmented generation system without building the vector search infrastructure yourself. Agents allows you to build agentic AI workflows that interact with your business systems. Guardrails provides configurable content filtering and topic blocking to prevent AI outputs that violate your policies.

For mid-market firms, the pricing model is attractive. You pay per token processed with no minimum commitment, which means you can start small and scale as value is demonstrated. A firm processing a few hundred documents per day might spend less than one hundred pounds per month on model inference. This removes the capital expenditure barrier that historically limited AI adoption in smaller firms.

The practical consideration is that Bedrock requires AWS infrastructure expertise to set up properly. VPC configuration, IAM policies, encryption settings, and logging all need to be configured correctly to meet regulatory expectations. For firms without deep AWS experience, working with a partner who understands both the technology and the regulatory requirements avoids costly misconfigurations and ensures the deployment meets compliance standards from day one.