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.
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.
