AI agents
Microsoft Introduces Execution Containers to Keep AI Agents in Check
Microsoft Execution Containers (MXC) brings policy-driven, OS-level containment to AI agents on Windows. Here's what enterprises need to know ...
The Questions Every Team Asks About Docker Sandboxes
Docker Sandboxes launched in March 2026. Since then, I’ve heard the same questions at meetups, on Slack, and during Docker Captain briefings. Instead of writing another overview piece, I want to answer ...
Deploying Docker AI Agents on OCI and OKE
This guide details the architectural transition of AI agents from experimental scripts to "first-class production workloads" using Oracle Cloud Infrastructure (OCI) and Oracle Kubernetes Engine (OKE). It emphasizes a zero-trust, scalable approach ...
Configuring NVIDIA NeMo Agent Toolkit With Docker Model Runner
Enhancing AI Agent reliability through advanced observability using NVIDIA NeMo and Docker Model Runner (DMR) ...
Kubernetes Builds a Sandbox CRD for AI Agents
The Kubernetes community has launched a new project to make a home for AI agents. The Agent Sandbox project, under development by SIG Apps, is a lightweight, single-container VM environment built on ...
The New Multi-Tenant Challenge: Securing AI Agents in Cloud-Native Infrastructure
AI agents run untrusted code. Here’s how to secure them using isolation, least privilege and proven cloud-native patterns ...
Build and Orchestrate Agents Using Docker cagent
Docker's cagent is a new open-source framework that simplifies the deployment of AI agents, allowing users to create everything from basic Hello World agents to complex multi-agent workflows using a declarative YAML ...
Web Bot Authentication: Securing AI Agents in Cloud-Native Environments
The rise of AI agents in cloud-native environments poses significant security challenges, creating difficulty in distinguishing legitimate automation from malicious bots. Web Bot Authentication (WBA) offers a cryptographic solution, using asymmetric cryptography ...
Best of 2025: Docker, Inc. Embraces MCP to Make AI Agent Integration Simpler
Docker, Inc., today added support for the Model Context Protocol (MCP) to make it simpler for developers to invoke artificial intelligence (AI) agents using the existing tools they rely on to build ...
AI Agents Power Cloud-Native Transformation
AI agents are redefining cloud-native development by embedding intelligence into DevOps workflows — optimizing pipelines, automating debugging, and accelerating release cycles. Experts like Promevo CTO John Pettit explain how these autonomous systems ...
