# ai containers

Published articles for ai containers.

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## Anthropic's Mythos and the acceleration of zero-day vulnerability discovery

DevFeed: [Anthropic's Mythos and the acceleration of zero-day vulnerability discovery](<https://devfeed.tech/articles/mythos-pulls-zero-days-forward-here-s-what-you-need-to-know-now-13167.md>)

Original publisher: [Read original article](<https://www.chainguard.dev/unchained/mythos-pulls-zero-days-forward-heres-what-you-need-to-know-now>)

Published: 2026-04-27T00:00:00Z

Content type: opinion

Language: en

Sources: [Chainguard: Unchained](<https://devfeed.tech/sources/chainguard-unchained.md>)

Topics: [anthropic](<https://devfeed.tech/topics/anthropic.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [ai-assisted attacks](<https://devfeed.tech/topics/ai-assisted-attacks.md>), [Exploit](<https://devfeed.tech/topics/exploit.md>), [Vulnerabilities](<https://devfeed.tech/topics/vulnerabilities.md>), [Security](<https://devfeed.tech/topics/security.md>), [Cybercrime](<https://devfeed.tech/topics/cybercrime.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-assisted-attacks](<https://devfeed.tech/tags/ai-assisted-attacks.md>), [ai-containers](<https://devfeed.tech/tags/ai-containers.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [anthropic-mythos](<https://devfeed.tech/tags/anthropic-mythos.md>), [chainguard-ai](<https://devfeed.tech/tags/chainguard-ai.md>), [chainguard-containers](<https://devfeed.tech/tags/chainguard-containers.md>), [cybercrime](<https://devfeed.tech/tags/cybercrime.md>), [exploit](<https://devfeed.tech/tags/exploit.md>), [firefox](<https://devfeed.tech/tags/firefox.md>), [kernel](<https://devfeed.tech/tags/kernel.md>), [linux-kernel](<https://devfeed.tech/tags/linux-kernel.md>), [mythos](<https://devfeed.tech/tags/mythos.md>), [mythos-ai-model](<https://devfeed.tech/tags/mythos-ai-model.md>), [security](<https://devfeed.tech/tags/security.md>), [vulnerabilities](<https://devfeed.tech/tags/vulnerabilities.md>), [web](<https://devfeed.tech/tags/web.md>)

### AI overview

The article discusses Anthropic's Mythos Preview, an AI system described as capable of finding and exploiting previously undisclosed vulnerabilities. It presents examples involving OpenBSD, FFmpeg, the Linux kernel, and Firefox, and argues that such systems could shorten or bypass traditional vulnerability disclosure timelines.

### Source excerpt

Anthropic's Mythos is reshaping zero-day threats. Learn how Chainguard helps you stay ahead with source-built, continuously secure software supply chains.

## 2026: The year of AI-assisted attacks

DevFeed: [2026: The year of AI-assisted attacks](<https://devfeed.tech/articles/2026-the-year-of-ai-assisted-attacks-12853.md>)

Original publisher: [Read original article](<https://www.chainguard.dev/unchained/2026-the-year-of-ai-assisted-attacks>)

Published: 2026-04-14T00:00:00Z

Content type: article

Language: en

Sources: [Chainguard: Unchained](<https://devfeed.tech/sources/chainguard-unchained.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Cybercrime](<https://devfeed.tech/topics/cybercrime.md>), [Hacking](<https://devfeed.tech/topics/hacking.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [ChatGPT](<https://devfeed.tech/topics/chatgpt.md>), [Malware](<https://devfeed.tech/topics/malware.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-assisted-attacks](<https://devfeed.tech/tags/ai-assisted-attacks.md>), [ai-containers](<https://devfeed.tech/tags/ai-containers.md>), [axios](<https://devfeed.tech/tags/axios.md>), [breach](<https://devfeed.tech/tags/breach.md>), [chainguard-for-ai](<https://devfeed.tech/tags/chainguard-for-ai.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [code](<https://devfeed.tech/tags/code.md>), [cybercrime](<https://devfeed.tech/tags/cybercrime.md>), [llm](<https://devfeed.tech/tags/llm.md>), [malicious-packages](<https://devfeed.tech/tags/malicious-packages.md>), [malwhere](<https://devfeed.tech/tags/malwhere.md>), [mythos](<https://devfeed.tech/tags/mythos.md>), [phishing](<https://devfeed.tech/tags/phishing.md>), [telnyx](<https://devfeed.tech/tags/telnyx.md>), [trivy](<https://devfeed.tech/tags/trivy.md>)

### AI overview

The article argues that AI-assisted attacks became more capable and accessible in 2025. It describes how ChatGPT, Claude Code, and other LLM-backed systems enabled nontechnical individuals and lone actors to conduct attacks previously associated with skilled hackers or organized teams, while citing increases in malicious packages, cloud intrusions, and AI-generated phishing.

### Source excerpt

AI is lowering the barrier to cybercrime. Learn why attacks are rising fast, and how eliminating entire classes of supply chain risk is the only path forward.

## Protect your AI workloads from supply chain attacks

DevFeed: [Protect your AI workloads from supply chain attacks](<https://devfeed.tech/articles/protect-your-ai-workloads-from-supply-chain-attacks-13205.md>)

Original publisher: [Read original article](<https://www.chainguard.dev/unchained/protect-your-ai-workloads-from-supply-chain-attacks>)

Published: 2026-01-30T00:00:00Z

Content type: article

Language: en

Sources: [Chainguard: Unchained](<https://devfeed.tech/sources/chainguard-unchained.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Containers](<https://devfeed.tech/topics/containers.md>), [chainguard](<https://devfeed.tech/topics/chainguard.md>), [Vulnerabilities](<https://devfeed.tech/topics/vulnerabilities.md>), [AI Strategy](<https://devfeed.tech/topics/ai-strategy.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Security](<https://devfeed.tech/topics/security.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [Tensorflow](<https://devfeed.tech/topics/tensorflow.md>), [MLOps](<https://devfeed.tech/topics/mlops.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-containers](<https://devfeed.tech/tags/ai-containers.md>), [chainguard](<https://devfeed.tech/tags/chainguard.md>), [chainguard-containers](<https://devfeed.tech/tags/chainguard-containers.md>), [chainguard-for-ai](<https://devfeed.tech/tags/chainguard-for-ai.md>), [chainguard-libraries](<https://devfeed.tech/tags/chainguard-libraries.md>), [containers](<https://devfeed.tech/tags/containers.md>), [cudnn](<https://devfeed.tech/tags/cudnn.md>), [cves](<https://devfeed.tech/tags/cves.md>), [data-processing](<https://devfeed.tech/tags/data-processing.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [kserve](<https://devfeed.tech/tags/kserve.md>), [legacy](<https://devfeed.tech/tags/legacy.md>), [libraries](<https://devfeed.tech/tags/libraries.md>), [mlops](<https://devfeed.tech/tags/mlops.md>), [nemo](<https://devfeed.tech/tags/nemo.md>), [ollama](<https://devfeed.tech/tags/ollama.md>), [python](<https://devfeed.tech/tags/python.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [security](<https://devfeed.tech/tags/security.md>), [security-vulnerabilities](<https://devfeed.tech/tags/security-vulnerabilities.md>), [supply-chain](<https://devfeed.tech/tags/supply-chain.md>), [supply-chain-attacks](<https://devfeed.tech/tags/supply-chain-attacks.md>), [zero-cve-containers](<https://devfeed.tech/tags/zero-cve-containers.md>)

### AI overview

The article discusses security and operational challenges in AI/ML workloads, including complex dependencies, bloated artifacts, infrastructure sprawl, and unremediated CVEs. It presents Chainguard Containers' minimal images for AI workloads as a way to reduce attack surface, storage needs, and deployment overhead, and cites a 50 MB gpu-operator image compared with a 170 MB upstream equivalent.

### Source excerpt

Chainguard secures AI adoption with minimal, zero-CVE containers and source-built libraries that prevent supply chain malware while keeping developers fast.

## Changes to PyTorch Container Images

DevFeed: [Changes to PyTorch Container Images](<https://devfeed.tech/articles/changes-to-pytorch-container-images-13000.md>)

Original publisher: [Read original article](<https://www.chainguard.dev/unchained/changes-to-pytorch-container-images>)

Published: 2025-04-25T00:00:00Z

Content type: release

Language: en

Sources: [Chainguard: Unchained](<https://devfeed.tech/sources/chainguard-unchained.md>)

Topics: [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [container images](<https://devfeed.tech/topics/container-images.md>), [CUDA](<https://devfeed.tech/topics/cuda.md>), [chainguard](<https://devfeed.tech/topics/chainguard.md>), [GPU](<https://devfeed.tech/topics/gpu.md>)

Tags: [ai-containers](<https://devfeed.tech/tags/ai-containers.md>), [ai-images](<https://devfeed.tech/tags/ai-images.md>), [chainguard](<https://devfeed.tech/tags/chainguard.md>), [chainguard-containers](<https://devfeed.tech/tags/chainguard-containers.md>), [container-images](<https://devfeed.tech/tags/container-images.md>), [cuda](<https://devfeed.tech/tags/cuda.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [preview](<https://devfeed.tech/tags/preview.md>), [python](<https://devfeed.tech/tags/python.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [release](<https://devfeed.tech/tags/release.md>)

### AI overview

Chainguard is changing its PyTorch container images on June 30. The update removes Python virtual environments, installs packages in the system site-packages directory, upgrades PyTorch and CUDA support, and adds optional CUDA compatibility libraries. These are breaking changes requiring deployment adjustments.

### Source excerpt

Chainguard is making changes to its Pytorch container images to make them more secure, easier to update, and simpler to use.

## Why AI developers are grumpy about containers

DevFeed: [Why AI developers are grumpy about containers](<https://devfeed.tech/articles/why-ai-developers-are-grumpy-about-containers-13325.md>)

Original publisher: [Read original article](<https://www.chainguard.dev/unchained/why-ai-developers-are-grumpy-about-containers>)

Published: 2024-10-31T00:00:00Z

Content type: opinion

Language: en

Sources: [Chainguard: Unchained](<https://devfeed.tech/sources/chainguard-unchained.md>)

Topics: [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Containers](<https://devfeed.tech/topics/containers.md>), [Security](<https://devfeed.tech/topics/security.md>), [Vulnerabilities](<https://devfeed.tech/topics/vulnerabilities.md>), [Cloud Native Ecosystem](<https://devfeed.tech/topics/cloud-native-ecosystem.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-containers](<https://devfeed.tech/tags/ai-containers.md>), [artificial-intelligene](<https://devfeed.tech/tags/artificial-intelligene.md>), [cloud-native](<https://devfeed.tech/tags/cloud-native.md>), [conda](<https://devfeed.tech/tags/conda.md>), [container-images](<https://devfeed.tech/tags/container-images.md>), [containers](<https://devfeed.tech/tags/containers.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [developers](<https://devfeed.tech/tags/developers.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [security](<https://devfeed.tech/tags/security.md>), [vulnerabilities](<https://devfeed.tech/tags/vulnerabilities.md>)

### AI overview

Chainguard summarizes interviews with machine learning specialists, AI developers, and data scientists about using containers in AI applications. The reported concerns include bloated images, security priorities beyond container CVEs, difficult dependencies, limited container expertise among some machine learning specialists, and reliance on inherited Dockerfile defaults and templates.

### Source excerpt

Chainguard interviewed AI developers about containers and how they are used in the creation of AI applications. See the results.