As enterprises struggle to govern rapidly multiplying AI agents, AWS is offering a centralized registry to bring visibility, ownership, and lifecycle control.

Vendors are prioritizing centralized, interoperable systems to improve governance over AI agents as adoption accelerates.

AWS launches two autonomous AI agents for DevOps and security that work without human oversight, challenging the economics of traditional engineering teams.

AWS, Microsoft and Google are building agent governance layers from different starting points. The battle over discovery and ...

NeenOpal , a global leader in high-velocity AI automation and cloud modernization, announced today that it has achieved the Amazon Web Services (AWS) AI Competency in the Generative AI and Agentic AI ...

Dr. Roland Illing, chief medical officer at Amazon Web Services, sat down with MobiHealthNews to discuss how innovations have ...

AWS's new AI platform grants researchers direct access to a broad library of biological foundation models for lab-in-the-loop drug discovery.

A new tool from Google Cloud aims to improve the accuracy of AI agents querying databases in multi-agent systems or ...

AI agents are cloud identities. They receive IAM roles at deployment, hold credentials, and access cloud resources to execute tasks. But unlike human users, they do this without session-based ...

The platform offers AI models and agents that help scientists design, test and iterate experiments to identify and analyze ...

Amazon S3 Files mounts any S3 bucket directly into an agent's local environment, giving AI agents native file system access ...

The DevOp Agent’s primary role is to just sit there monitoring applications in deployment 24/7, ready and waiting for any ...