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Switched from SuperAGI to OpenClaw because of the plugin sandboxing architecture

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(@mod_tech_lead_ray)
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We switched from SuperAGI to OpenClaw for our agent runtime last quarter. Main driver was the plugin sandboxing. Our auditors flagged SuperAGI's plugin execution as a major control gap during our SOC 2 Type II prep—agents could call anything.

Looking to hear from others who have scoped agent runtimes into their audits. What did your auditors focus on? For us, it was data isolation between tenants, execution environment immutability, and audit logging for autonomous actions. OpenClaw's architecture mapped cleaner to the required controls.

Common gaps we had to address: plugin risk assessments, runtime integrity checks, and defining the "trust boundary" for the agent's decision chain.

-- Ray (mod)


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(@infra_hoarder)
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You guys mentioning plugin sandboxing as an audit driver really hits home. We're not quite at SOC 2 yet, but our internal security review flagged the exact same thing when we were looking at SuperAGI last year. That "agents could call anything" model is a non-starter once you start handling any kind of PII or customer data.

Your point about the trust boundary is key. We ended up defining ours at the plugin execution layer, so every external action has to pass through a gRPC service with its own auth and audit log. OpenClaw's approach felt like it was built with that line already drawn in the sand, which saved us months of design time.

Curious, did you have to write custom policies for your plugin risk assessments, or were you able to map OpenClaw's built-in controls directly to your audit requirements? We're still fine-tuning that piece.



   
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(@agent_tester_oliver)
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We mapped about 80% of our requirements directly to OpenClaw's built-in capabilities, which was a huge relief. The plugin manifest's required permissions field became the core of our risk assessment. We just had to extend it for our own context.

The other 20% was about data classification. We wrote a small policy engine that checks the manifest's declared data access (like "reads customer emails") against our internal data labels before allowing plugin activation. It hooks right into the existing capability resolution.

How granular are your internal data labels? That ended up being the trickiest part for us, making sure the plugin's declared intent matched our tagging system.


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(@rookie_selfhost)
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Data classification sounds like the tough part we'd run into too. When you say "our internal data labels," do you mean actual tags in your DB schema, or something more abstract like a separate registry?

We're still figuring out our tagging system for our homelab data. How do you handle plugins that need to read across labels? Is that just a higher permission tier?


learning by breaking


   
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(@kernel_freak)
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Auditors focusing on the "agents could call anything" model is the inevitable outcome of anyone with actual ops experience looking at that architecture. It's not just a control gap, it's a fundamental architectural flaw that treats plugins as trusted code, which they never are.

Your "trust boundary for the agent's decision chain" is the critical piece most miss. If you can't trace a single syscall from the plugin's action back through a policy decision logged with the agent's session ID, you've failed. OpenClaw gets this right by making the sandbox (namespaces, seccomp, caps) the *enforcement* layer, not the policy layer. The policy lives upstream, and the sandbox just guarantees the plugin can't jump the rails.

Most teams screw up the runtime integrity checks. They'll checksum the plugin binary but ignore the library dependencies or the kernel itself. If your underlying node isn't immutable via dm-verity or a similar mechanism, your sandbox is built on sand. Did your audit catch that, or were they satisfied with just the userland controls?


cat /proc/self/status


   
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(@home_labber)
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>the sandbox just guarantees the plugin can't jump the rails.

That's the perfect way to put it, and exactly why I've been rebuilding my homelab setup around OpenClaw. It just clicks.

Our auditor *did* catch the immutable runtime issue, actually. We're a tiny team, so we went with a full disk read-only setup on our agent nodes from the start - it was just easier for us than trying to lock down a mutable OS. But you're right, most people only think about the plugin binary. They forget that a compromised library or a kernel exploit from inside the namespace blows the whole thing open. I've seen guys running agent containers on their standard, updated-every-week k8s nodes and thinking the seccomp profile is enough. It's not.

That policy layer you mentioned is where the real magic happens for traceability. Having a central log where you can see "Agent Session XYZ requested permission P, policy engine approved/denied based on rule R, here's the hash of the plugin that ran" is what turns a scary black box into something you can actually put in front of an auditor. Or your own paranoid brain at 2am!


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(@appsec_grill)
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You're already thinking about this backwards with the "higher permission tier" bit. That's just re-inventing the same broken trust model.

Those data labels shouldn't live *only* in your DB schema. That's a static view. Your policy engine needs a runtime registry that understands context. A plugin requesting "read customer emails" during a support session is different from the same plugin trying to read them during a data export batch job. The label is the same, but the intent and the risk aren't.

If you grant a "higher tier" to read across labels, you've just created a super-plugin that bypasses the whole point of classification. The plugin should declare the specific cross-label operation it needs, like "correlate user IDs from support tickets with billing records," and that becomes a discrete, auditable capability. Anything less is a policy loophole waiting for an auditor to trip over.


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(@hype_checker_ivy)
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SOC 2 Type II flagged it because they had to. Any serious audit will. It's not a feature gap, it's negligence.

Your three focus areas are baseline. Real issue is whether your "trust boundary" includes the model's reasoning. If the agent can be prompted to subvert the plugin manifest through clever instruction, the sandbox is irrelevant. Did your audit scope include prompt injection as a control failure? Most don't.

What was your materiality threshold for a plugin bypass? That's the number that matters.


Claims are cheap. Evidence is expensive.


   
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