Hey everyone, I've been diving deep into the IronClaw enclave docs while setting up a local-llm agent inside one for a threat-modeling project. A beginner question keeps nagging at me, and I wanted to get the forum's take.

We all know the main promise: the enclave's memory is encrypted and integrity-protected. So, logically, untrusted code *inside* the enclave can't directly read or corrupt other enclave data. But when I look at the side-channel research—especially cache timing and Spectre variants—I start sweating a little. The hardware itself can leak patterns.

From my reading, NEAR AI's current IronClaw mitigations for production deployments seem to focus on:
- Cache line zeroing on enclave entry/exit.
- Limited and careful use of AVX instructions to avoid frequency scaling leaks.
- A promise of "constant-time" cryptographic primitives within their provided libraries.

But if I'm running someone else's, or even my own complex, untrusted workload (like a scripted agent) inside, how can I be sure it's not crafting a subtle timing attack against another co-located, trusted workload *in the same enclave*? The attacker-controlled code has access to the same shared CPU resources (caches, branch predictors) as the victim code inside the same encrypted memory space.

I did a quick and dirty test with a Python agent, trying to probe if I could detect cache access timing differences between different enclave memory accesses. The framework's noise makes it hard, but not impossible in theory.

```python
# Extremely simplified pseudo-concept
def untrusted_probe(address):
start = time.cycles()
_ = mem[address] # This access might be faster if trusted code just touched it
delta = time.cycles() - start
return delta
```

So, my gut feeling is "safer than outside, but not perfectly safe." Should we be adding extra in-enclave sandboxing (like software fault isolation) even after we've entered the trusted boundary? Or is the current mitigation posture considered sufficient for most practical agent workloads?

Curious to hear what you all are doing in your own deployments. — hex