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Build a Secure AI Personal Assistant with NanoClaw

Wednesday, August 19, 11 AM ET

Key Takeaways

  • Build a fully functional AI professional assistant with NanoClaw’s agent template, using container isolation from the ground up.
  • Understand the security and governance principles that separate production-ready AI assistants from unsafe deployments.
  • Discover best practices for architecting AI assistants that scale securely across teams and organisations.

Your Presenter(s)

Amit Shafnir headshot

Amit Shafnir

Founding AI Engineer at NanoCo

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Amit Shafnir is a Founding AI Engineer at NanoCo, the company behind NanoClaw — the open-source, container-isolated AI personal assistant with over 30,000 GitHub stars. Specialising in AI security and agentic systems, Amit brings a background in DevSecOps and cloud security. Amit was a DevSecOps engineer at Isracard, Israel's leading credit card company, and then went on to Riskified, where he led AI agent initiatives with an emphasis on secure infrastructure and cyber defence. At NanoCo, he works on the engineering and security architecture that makes NanoClaw safe enough to deploy across entire organisations.

Why this matters

AI personal assistants are proliferating rapidly, but most implementations expose serious security gaps — running agents with broad system access, no credential isolation, and no meaningful sandboxing. For AI engineers building or deploying these systems, security and governance are not optional extras; they are the difference between an assistant that can be trusted with real workflows and one that cannot be put into production.

In this code-along webinar, Amit Shafnir, Founding AI Engineer at NanoCo, will show you how to build a secure AI professional assistant using NanoClaw: the open source, container-isolated framework built on frontier agent SDKs. You’ll get started with an out-of-the-box agent template and customize it for a real business use case. Along the way, he’ll demonstrate how NanoCo helps teams build agents with built-in security and governance controls, so they’re ready for real-world use.

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