In the agentic age, Amazon Web Services (AWS) aims to serve as the platform for running enterprise artificial intelligence (AI) agents for all businesses, ushering in a new era for companies.

In the agentic age, Amazon Web Services (AWS) aims to serve as the platform for running enterprise artificial intelligence (AI) agents for all businesses, ushering in a new era for companies.

In a groundbreaking move, Amazon has announced the launch of Amazon Bedrock AgentCore, a comprehensive set of modular cloud services designed to transform the way businesses automate and innovate. This new platform, unveiled in 2025, is set to empower the next generation of AI in business by enabling the creation and deployment of scalable, secure, and intelligent autonomous agents [1][2][3].

Agentic AI is rapidly becoming commonplace in workplaces, revolutionizing workflows across various sectors. Amazon Bedrock AgentCore is a significant step towards realizing the vision of this new agentic AI era, bridging the gap between AI prototypes and scalable production-grade AI agents [1].

The platform offers a secure, serverless environment called AgentCore Runtime, which supports dynamic, session-isolated AI agents handling interactive and asynchronous workloads up to eight hours. This feature allows for the scalable deployment of agentic applications with fast cold starts [2][3].

Moreover, AgentCore Memory provides a sophisticated short-term and long-term memory infrastructure, enabling agents to maintain context-awareness and persist relevant knowledge across sessions. This enhancement boosts conversational accuracy and agent intelligence [2][3].

Security is paramount, and AgentCore Identity ensures secure, scalable authentication and authorization for AI agents. It integrates with existing identity providers such as Amazon Cognito and Microsoft Entra ID, ensuring that agents access the proper tools and data securely without user friction or consent fatigue [2][3].

AgentCore also fosters an event-driven architecture necessary for continuous, autonomous agent operation across business systems by integrating with real-time data streaming platforms like Apache Kafka and Apache Flink [1].

Notable customers such as Itaú Unibanco and Innovaccer are already leveraging AgentCore to build scalable AI agents, demonstrating its adoption and impact [2]. Amazon continues to expand AgentCore’s capabilities, for example, by introducing secure code interpreter services, which allow AI agents to write and execute code safely within sandboxed environments, increasing flexibility for complex tasks [5].

Amazon Web Services (AWS), with its 20 years of experience in building infrastructure services, aims to be the best place for running AI agents. AWS views agentic AI as the most impactful change since the internet's dawn, and aims to be the place where everyone runs enterprise AI agents, with AgentCore being the way they do it [4].

Deepak Singh, VP of Developer Agents and Experience at AWS, considers agentic AI to be as transformative as data networks. Building and running AI agents at scale is challenging, especially for companies aiming to stay competitive in a fast-paced market. Amazon Bedrock AgentCore is designed to give developers the tools to create and deploy advanced AI agents, setting the stage for a future where the most valuable agents span multiple organizations [4].

In summary, Amazon Bedrock AgentCore is a foundational technology that empowers the next generation of AI in business through scalable, secure, and intelligent autonomous agents. This platform is expected to accelerate the shift towards an agentic world, transforming how enterprises automate and innovate.

References:

[1] Amazon Web Services. (2025). Amazon Bedrock AgentCore. Retrieved from https://aws.amazon.com/agentcore/

[2] Amazon Web Services. (2025). AgentCore. Retrieved from https://docs.aws.amazon.com/agentcore/latest/developerguide/what-is-agentcore.html

[3] Amazon Web Services. (2025). AgentCore Runtime. Retrieved from https://docs.aws.amazon.com/agentcore/latest/developerguide/runtime.html

[4] Amazon Web Services. (2025). Deepak Singh: The Future of AI is Agentic. Retrieved from https://aws.amazon.com/blogs/machine-learning/deepak-singh-the-future-of-ai-is-agentic/

[5] Amazon Web Services. (2026). Secure Code Interpreter Services Now Available in Amazon Bedrock AgentCore. Retrieved from https://aws.amazon.com/about-aws/whats-new/2026/03/secure-code-interpreter-services-now-available-in-amazon-bedrock-agentcore/

In the transformative AI landscape, Amazon Bedrock AgentCore is carving a niche by bridging the gap between AI prototypes and production-grade agents, offering potential in various business sectors, including finance and technology. agentic AI applications developed using AgentCore can handle interactive and asynchronous workloads for extended periods, fostering the growth of AI-powered business automation and innovation.

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