# Docker Docker is a platform designed to help developers build, share, and run container applications. We handle the tedious setup, so you can focus on the code. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## 6 Benefits of Sandbox Environments (and How Docker Sandboxes Delivers Them) DevFeed: [6 Benefits of Sandbox Environments (and How Docker Sandboxes Delivers Them)]() Original publisher: [Read original article]() Author: Kevin Wittek Published: 2026-09-08T23:05:55Z Content type: article Language: en Sources: [Docker]() Topics: [Docker](), [Authorization]() Tags: [agentic-ai](), [ai-agents](), [ai-ml](), [autonomous](), [concepts](), [docker-ai-governance](), [docker-sandboxes](), [linux](), [policy](), [products](), [sandbox](), [secrets]() ### AI overview The article explains how Docker Sandboxes isolate untrusted code and autonomous AI agents from host machines and external systems. It highlights runtime policy controls, credential handling, disposability, and microVM-based isolation. ### Source excerpt Learn about the key benefits of sandbox environments with Docker including isolation, definable controls, secrets credential handling, and more. ## YOLO Mode: Agent Autonomy Without the Guardrails DevFeed: [YOLO Mode: Agent Autonomy Without the Guardrails]() Original publisher: [Read original article]() Author: Srini Sekaran Published: 2026-09-03T18:00:00Z Content type: article Language: en Sources: [Docker]() Topics: [AI-assisted coding](), [Authorization](), [Command-line interface](), [cursor](), [GitHub Copilot CLI](), [Claude]() Tags: [agentic-ai](), [ai-agent](), [cli](), [concepts](), [cursor](), [docker-ai-governance](), [docker-sandboxes](), [products](), [sandbox](), [secrets](), [security]() ### AI overview The article defines YOLO mode as allowing AI coding agents to auto-approve actions without confirmation prompts. It argues that the key risk depends on the execution environment and recommends isolated, disposable sandboxes with scoped access and no real secrets. ### Source excerpt YOLO mode lets an AI agent run without asking permission. Learn what it is, why it's risky, and how to run it safely. ## Below the Harness: Governing a Multi-Model, Multi-Harness World DevFeed: [Below the Harness: Governing a Multi-Model, Multi-Harness World]() Original publisher: [Read original article]() Author: Srini Sekaran Published: 2026-09-02T13:00:00Z Content type: opinion Language: en Sources: [Docker]() Topics: [AI Bots]() Tags: [ai-agent](), [ai-ml](), [apis](), [claude-code](), [codex](), [company](), [model](), [security]() ### AI overview An opinion piece arguing that AI agents require a new trust model as teams adopt multiple models and harnesses. It frames agents as probabilistic deputies that can act with users' credentials and access. ### Source excerpt We believe the future is a multi-model, multi-harness world. And we think it needs a new trust model. In 1988, Norm Hardy described a problem that had been quietly breaking systems for years: the confused deputy. A program that takes action using its permissions instead of yours. Today, every AI agent is that deputy. It... ## Building Reproducible AI Evaluation Workflows with Docker Sandboxes DevFeed: [Building Reproducible AI Evaluation Workflows with Docker Sandboxes]() Original publisher: [Read original article]() Author: Jennifer Kohl Published: 2026-09-02T13:00:00Z Content type: tutorial Language: en Sources: [Docker]() Topics: [ai observability](), [Human-AI evaluation]() Tags: [ai](), [ai-agent](), [ai-ml](), [ai-models](), [benchmarks](), [claude](), [community](), [docker](), [docker-sandboxes](), [evaluation](), [genai](), [json](), [open-source](), [python](), [sandbox](), [sandboxes](), [workflow](), [workflows]() ### AI overview The article presents an open-source Docker Sandboxes Mixin Kit for making AI evaluation workflows reproducible. It runs configured commands in a consistent environment and records structured results and runtime evidence, without executing models or generating evaluation judgments itself. ### Source excerpt Learn how Docker Sandboxes can make AI evaluation workflows more reproducible with consistent execution, structured artifacts, and runtime evidence. ## Secure by default is your only way forward DevFeed: [Secure by default is your only way forward]() Original publisher: [Read original article]() Author: Vishrut Iyengar Published: 2026-08-31T13:00:00Z Content type: opinion Language: en Sources: [Docker]() Topics: [AI-assisted coding]() Tags: [agents](), [code](), [community](), [enterprise](), [images](), [products](), [security](), [solutions](), [supply-chain]() ### AI overview The article argues that AI coding agents amplify existing software supply-chain risks because they build and ship code using unexamined dependencies. It advocates a hardened, minimal, source-built foundation with accountable security practices. ### Source excerpt The newest worker on your team builds with whatever it finds and never asks what deserves your trust. Our answer is a hardened foundation and a boundary built for agents. ## Moving from Minimus to Docker Hardened Images DevFeed: [Moving from Minimus to Docker Hardened Images]() Original publisher: [Read original article]() Author: Vishrut Iyengar Published: 2026-08-25T22:27:06Z Content type: article Language: en Sources: [Docker]() Topics: [Docker Hardened Images](), [migration](), [Docker](), [supply-chain-security](), [Docker Hub](), [Open Source](), [Debian](), [Artificial Intelligence]() Tags: [apache](), [ci](), [community](), [debian](), [docker](), [docker-hardened-images](), [docker-hub](), [enterprise](), [guide](), [migration](), [open-source](), [products](), [security](), [solutions](), [supply-chain](), [vulnerabilities]() ### AI overview Docker explains how Minimus customers can migrate to Docker Hardened Images before the Minimus registry goes offline on October 22, 2026. The article highlights the 60-day maintenance window, free migration assistance, DHI's open-source Apache 2.0 catalog, and a drop-in migration process centered on updating Dockerfile FROM lines. ### Source excerpt The Minimus registry goes offline on October 22. Here is the migration path, the free help Docker is offering, and where to start. ## MinIO End of Life: How to Stay Patched and Audit-Ready with Docker ELS DevFeed: [MinIO End of Life: How to Stay Patched and Audit-Ready with Docker ELS]() Original publisher: [Read original article]() Author: Vishrut Iyengar Published: 2026-08-24T13:00:00Z Content type: article Language: en Sources: [Docker]() Topics: [Docker Hardened Images](), [open-source-security](), [Security](), [migration](), [Docker](), [Open Source](), [Go]() Tags: [community](), [docker](), [docker-hardened-images](), [enterprise](), [go](), [migration](), [open-source](), [open-source-security](), [production](), [products](), [releases](), [security](), [solutions]() ### AI overview Docker's Extended Lifecycle Support keeps MinIO patched and audit-ready after the project's upstream end of life. The article explains how Docker maintains hardened images, tracks CVEs across MinIO and its Go dependencies, backports fixes, and supports teams that cannot immediately migrate their production object storage. ### Source excerpt MinIO reached end of life in February 2026. Docker Extended Lifecycle Support (ELS) keeps end-of-life software like it patched, compliant, and audit-ready for up to five years, covering versions upstream no longer supports all the way up to entire projects. ## Running AI agents in GitHub Actions with Docker Sandboxes DevFeed: [Running AI agents in GitHub Actions with Docker Sandboxes]() Original publisher: [Read original article]() Author: Jennifer Kohl Published: 2026-08-21T13:00:00Z Content type: tutorial Language: en Sources: [Docker]() Topics: [AI-assisted coding](), [ci]() Tags: [ai-agent](), [ai-coding](), [ci](), [docker](), [docker-sandboxes](), [engineering](), [github-actions](), [postgresql](), [pull-requests](), [sandboxes](), [testcontainers]() ### AI overview A tutorial on running AI coding agents in GitHub Actions inside Docker Sandboxes, emphasizing isolated execution while agents run tests, fix a seeded bug, and open a draft pull request. ### Source excerpt Run AI agents in GitHub Actions with Docker Sandboxes. See how isolated agents can run Testcontainers tests, fix code, and open draft pull requests. ## Docker Verified Publisher Applications Are Now Self-Serve DevFeed: [Docker Verified Publisher Applications Are Now Self-Serve]() Original publisher: [Read original article]() Author: Dan Berezin Stelzer Published: 2026-08-20T17:00:00Z Content type: article Language: en Sources: [Docker]() Topics: [Docker Hub]() Tags: [analytics](), [applications](), [developers](), [docker](), [docker-hub](), [docker-verified-publisher](), [docker-verified-publisher-program](), [open-source](), [products]() ### AI overview Docker Hub now offers a self-service application process for Docker Verified Publisher status. Approved publishers receive verified status, prioritized ranking, and analytics reporting. ### Source excerpt Apply to become a Docker Verified Publisher (DVP) now directly through Docker Hub. Get your verified content seen first by devs looking for trusted options. ## 17,600 Actions: Agent Security Is a Systems Problem DevFeed: [17,600 Actions: Agent Security Is a Systems Problem]() Original publisher: [Read original article]() Author: Jin Kim Published: 2026-08-18T16:00:00Z Content type: opinion Language: en Sources: [Docker]() Topics: [AI Agent](), [Security](), [incident](), [Securing AI](), [Incident response](), [Vulnerabilities](), [Benchmark](), [benchmarking]() Tags: [agent](), [agents](), [ai](), [ai-agent](), [ai-ml](), [benchmark](), [community](), [company](), [dhi](), [docker](), [docker-ai-governance](), [docker-hardened-images](), [engineering](), [evaluation](), [hugging-face](), [incident](), [infrastructure](), [model](), [network](), [openai](), [opinion](), [persistence](), [sandboxes](), [security](), [solutions](), [systems](), [vulnerabilities]() ### AI overview The article argues that AI-agent security is a systems problem, using the OpenAI/Hugging Face incident and its approximately 17,600 attacker actions to show why human approval and ordinary alert triage cannot control persistent, high-rate workloads. It emphasizes constraining authority, credentials, network access, state, and execution across environments. ### Source excerpt The OpenAI/Hugging Face incident exposed a new challenge for AI agent security. 17,600 attacker actions show why AI agent security can't rely on human review. Explore the controls needed to constrain, observe, and govern agents at speed.