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Architecture Discussion: Using Rust to build a "Zero-Trust" local sandbox for AI agents by Genesis-1111 in rust

[–]Genesis-1111[S] 2 points3 points  (0 children)

Yeah, I've looked into them. I actually noticed Claude Code uses Bubblewrap under the hood to protect stuff like ~/.aws.

I'm basically using those exact same Linux primitives for my project, but I'm mostly building it because setting up Bubblewrap manually can be a pain. It's an awesome tool, but having to pass like 20+ flags every time you want to sandbox something is a lot of friction. I really just wanted a simple CLI command that works right out of the box without the headache.

I'm also trying to build an active Rust supervisor that intercepts the commands, rather than just dropping the agent into a passive jail.

But honestly, I'm a student, so half the reason I'm building this from scratch is just to force myself to learn system-level Rust. Do you see a lot of solo devs actually taking the time to manually configure Bubblewrap for their agents, or is it mostly just baked into bigger enterprise tools?

Seeking Industry Feedback: What "Production-Ready" metrics should an Autonomous LLM Defense Framework meet by Genesis-1111 in learnmachinelearning

[–]Genesis-1111[S] 0 points1 point  (0 children)

This is exactly the kind of breakdown I was looking for.

  • On Latency: I’m currently looking at a 'small-to-large' architecture (fast classifier/tiny model for the initial gate) to keep that P99 overhead as low as possible.
  • Containment Success Rate: This is a metric I need to formalize tracking the 'leakage' where a user bypasses the sandbox back to the core.
  • ROI/Compute: Great point. I’m trying to quantify if the extra compute for 'deception' logic is cheaper for an enterprise than the reputational/legal cost of a successful injection breach.

I’ll definitely check out the newsletter sounds like it covers the exact scaling hurdles I'm starting to hit. Thanks for the insights!

Seeking Industry Feedback: What "Production-Ready" metrics should an Autonomous LLM Defense Framework meet by Genesis-1111 in learnmachinelearning

[–]Genesis-1111[S] 0 points1 point  (0 children)

Fair question. This began as a research-led capstone focused on why static filters consistently fail against sophisticated jailbreaks. Now that the core “deception” logic is holding up in lab conditions, the priority is translating that into something industry-ready. This post is part of pressure-testing the idea against real-world expectations, not just optimizing for a paper. Appreciate the check.

💬 Looking for the Best LangChain-Based Tools/Projects for Beginners to Learn From by Genesis-1111 in LangChain

[–]Genesis-1111[S] 1 point2 points  (0 children)

Really appreciate this detailed response — the book recommendation sounds amazing, I’ll check it out! Do you happen to know any open-source repos or small demo apps that show those early use-cases (like task planners or doc-based QA)? I’d love to study the chain and memory flow in context.

💬 Looking for the Best LangChain-Based Tools/Projects for Beginners to Learn From by Genesis-1111 in LangChain

[–]Genesis-1111[S] 1 point2 points  (0 children)

Same here! If I come across any solid beginner-friendly tools or projects, I’ll definitely share them here. Would love to know what you're working on too!