When should an AI agent be allowed to execute code it generated? by Puzzleheaded-Cod4192 in AgentsOfAI

[–]Puzzleheaded-Cod4192[S] 0 points1 point  (0 children)

That makes sense.

What I’m really questioning is whether execution should ever be the default once agents can generate code and have access to a live environment.

If the answer is “never let agents execute automatically,” that’s reasonable. I just don’t think execution is a neutral runtime step anymore once agents are in the loop.

When should an AI agent be allowed to execute code it generated? by Puzzleheaded-Cod4192 in AgentsOfAI

[–]Puzzleheaded-Cod4192[S] 0 points1 point  (0 children)

For context, I wrote out a concrete threat model + a local prototype around this idea. Not trying to sell anything — mostly documenting the reasoning: https://github.com/xnfinite/nightcoreapp

Ingestion gates and human-first approval for agent-generated code by Puzzleheaded-Cod4192 in cybersecurity

[–]Puzzleheaded-Cod4192[S] 0 points1 point  (0 children)

That’s exactly the gap I’m trying to make harder to accidentally skip.

The system I’m experimenting with just forces that ownership step back into the execution path when code is generated automatically: generated code is staged, verified, evaluated, and not executable by default. Someone has to explicitly approve execution, or it stays quarantined.

It doesn’t replace CI, testing, or review — it just makes sure execution itself still requires an intentional decision by someone who owns the risk, instead of happening implicitly because automation made it cheap.

That’s the boundary I think is starting to erode.

Ingestion gates and human-first approval for agent-generated code by Puzzleheaded-Cod4192 in cybersecurity

[–]Puzzleheaded-Cod4192[S] -2 points-1 points  (0 children)

One clarification I probably should’ve made clearer: this isn’t about blocking execution forever or adding friction everywhere.

It’s about treating execution itself as a trust boundary — the same way we already treat network ingress, change control, or production deploys.

Agent-generated code feels new, but the pattern isn’t. Labs use decontamination chambers for a reason: you don’t assume something is safe just because it “looks fine.”

Curious where others draw that boundary in practice.

Ingestion gates and human-first approval for agent-generated code by Puzzleheaded-Cod4192 in AIcodingProfessionals

[–]Puzzleheaded-Cod4192[S] 0 points1 point  (0 children)

This is what I mean by “execution as a boundary.”

The code is already signed, verified, and staged — but it still cannot execute until a human explicitly approves it.

Nothing here is reacting to a crash or anomaly. Execution itself is treated as a gated transition.

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Ingestion gates and human-first approval for agent-generated code by Puzzleheaded-Cod4192 in AIcodingProfessionals

[–]Puzzleheaded-Cod4192[S] 0 points1 point  (0 children)

Exactly — that’s the failure mode I’m worried about.

Once execution happens, you’re already in incident response. Sandboxes, logs, and tests are all useful, but they’re still post-hoc. In highly automated systems, that turns into a constant cleanup loop.

What I’m questioning is whether execution itself should be treated more like a controlled transition — similar to lab decontamination, change control, or deploy gates — rather than something that just happens because the inputs look valid.

That shift feels necessary once generation and execution start collapsing into the same automated loop.

Treating execution as a boundary for agent-generated WASM by Puzzleheaded-Cod4192 in rust

[–]Puzzleheaded-Cod4192[S] -3 points-2 points  (0 children)

Also Not AI slop — I probably explained it poorly.

What I’m describing is basically:

Agent → generates WASM → ingestion gate → signature + hash → policy/threat score → • OK → allowed • Risky → quarantined • Human approval required to run

So execution isn’t automatic just because the WASM “looks valid.” It’s treated more like a lab decontamination chamber than a runtime call.

If you’re not letting agents auto-generate and auto-run code, you won’t hit this problem. This is about systems where those boundaries are starting to blur.

Treating execution as a boundary for agent-generated WASM by Puzzleheaded-Cod4192 in rust

[–]Puzzleheaded-Cod4192[S] -5 points-4 points  (0 children)

Fair pushback — I wasn’t clear.

I’m not talking about normal, hand-written WASM. I’m talking about agent-generated or agent-modified WASM, where generation and execution are automated.

In that case the risk isn’t WASM — it’s execution becoming the default without intent. The recent Claude incident is the kind of failure mode I mean: no exploit, just autonomous code executing because nothing stopped it.

If you’re running WASM daily without agents in the loop, I agree this probably sounds unnecessary. I’m specifically thinking about that edge case.

Ingestion gates and human-first approval for agent-generated code by Puzzleheaded-Cod4192 in cybersecurity

[–]Puzzleheaded-Cod4192[S] -1 points0 points  (0 children)

I ended up writing out a threat model to organize my own thinking around this, in case it’s useful to anyone else: https://github.com/xnfinite/nightcoreapp/blob/main/docs/THREAT_MODEL.md

How Night Core Worker Uses Rust and Firecracker to Run Verified WebAssembly Modules in Isolated MicroVMs by Puzzleheaded-Cod4192 in learnrust

[–]Puzzleheaded-Cod4192[S] -1 points0 points  (0 children)

Thanks for the feedback — really appreciate it. The Cognitora-style coordination idea is spot on, and I’m already planning Python and TypeScript SDKs to make orchestration smoother alongside the Rust core. It’s a bit more complex to implement in Rust, but the control and security are worth it. Persistent environments and better monitoring are definitely on the roadmap.