Uploaded January 2026 | Updated September 2026, 21 hours ago

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AI is moving fast, but most AI container images and dependencies were not designed with security in mind.

Join Chainguard Principal Developer Relations Engineer Patrick Smyth to discover how teams can ship AI faster with a secure, reproducible foundation. Chainguard Containers reduce CVEs in AI workloads by 90%+ with zero added overhead, while Chainguard Libraries for Python secure AI dependencies by building PyPI packages from source.

In this session, you'll learn how to:

- Train a model and run inference using the PyTorch Chainguard Container
- Reduce AI attack surface with hardened, minimal images
- Run AI frameworks with 0 CVEs
- Secure AI dependencies using Chainguard Libraries for AI applications

About Chainguard
Founded by the industry's leading experts on open source software, security and cloud native development, we are on a mission to be the safe source for open source.

Where to find us:
Website: https://www.chainguard.dev/
Twitter: twitter.com/chainguard_dev
LinkedIn: linkedin.com/company/chainguard-dev
TikTok: tiktok.com/@chainguard_dev