Secure, Reliable, and Scalable AI Agent Deployments with Amazon Bedrock AgentCore

Overview – Amazon Bedrock AgentCore is a fully managed service that provides the infrastructure needed for enterprise‑grade AI agents. It addresses the core challenges of security, reliability, and scalability that prevent agents from moving beyond prototype stages.

Core capabilities – AgentCore supplies a complete stack: developers can configure tools, memory modules, and data sources with a few lines of code and deploy agents to a highly secure runtime. Key services include:

AgentCore Code Interpreter : executes generated code in an isolated sandbox.

AgentCore Browser : enables agents to interact with web applications at scale.

AgentCore Gateway : converts existing APIs and AWS Lambda functions into agent‑compatible tools and integrates with third‑party services such as Jira, Asana, and Zendesk.

AgentCore Identity : provides OAuth‑based authentication and authorization for agents.

Memory and context awareness – The Memory service lets agents retain detailed user preferences, interaction history, and contextual information without requiring developers to manage separate storage. For example, a sales‑support agent can remember a customer’s industry, budget, and technical requirements across multiple dialogue turns, reducing repeated questions and delivering more personalized recommendations.

Observability – Real‑time dashboards and comprehensive audit trails give enterprises full visibility into agent reasoning and actions. AgentCore integrates with OpenTelemetry, allowing seamless connection to monitoring tools such as Dynatrace, Datadog, Arize Phoenix, LangSmith, and Langfuse.

Runtime scalability and security – Built on microVM technology, each agent session runs in an isolated compute environment, preventing data leakage. The service supports VPC and Amazon PrivateLink for private network traffic. The runtime can automatically scale from zero to thousands of concurrent sessions and supports long‑running tasks with up to eight hours of continuous execution.

Flexibility – Agents can use any model or framework, including those available on Amazon Bedrock and external models. Users can mix and match AgentCore services to meet specific workflow requirements while retaining enterprise‑level infrastructure support.

Adoption and case studies – AgentCore SDK downloads have exceeded one million, with early adopters such as Clearwater Analytics, Cox Automotive, Druva, Ericsson, Experian, Heroku, National Australia Bank, and Sony. Partner support from Accenture, Cisco, Deloitte, and Salesforce has driven transformative outcomes, including:

Cohere Health’s Review Resolve™ cuts review time by 30‑40% and improves accuracy by ~30% in a regulated healthcare setting.

Ericsson reports double‑digit efficiency gains after deploying agents that integrate across millions of lines of code in its 3G‑6G systems.

Sony’s digital and technology division uses AgentCore to achieve enterprise‑grade security, observability, and scalability for AI‑driven workflows.

Amazon’s own device‑operations and supply‑chain teams reduced a multi‑day model‑tuning effort to under one hour by orchestrating agents that generate inspection processes and train visual‑recognition models for production‑line robots.

Availability – AgentCore is generally available in nine AWS regions (e.g., Mumbai, Singapore, Sydney, Tokyo, Dublin, Frankfurt, Virginia, Ohio, Oregon) and can be extended with pre‑built agents and tools from the AWS Marketplace.