Hey everyone. Been lurking for a bit, finally have something to share. I'm self-hosting IronClaw in my homelab (Docker Compose on Ubuntu, nothing fancy) and got really worried after reading through the side-channel threads here. I'm not a security researcher, but I know my way around Linux enough to try and test things.

So I spent the last week building a simple detector, mostly using `perf` and some custom scripts to monitor cache activity and timing variations on the host while the enclave is under load. I focused on the L1/L2 cache because that's what the docs said was most relevant. I'm honestly a bit overwhelmed by the results.

Even with NEAR AI's mitigations active, I'm seeing measurable timing differences during specific inference operations. It's not a full-blown exploit, but the signal is there. It looks like it might be related to memory access patterns that aren't fully smoothed out. Has anyone else tried this kind of basic assessment? I'm wondering if my Docker setup or my older CPU (Intel 10th gen) is making things worse.

I can share my methodology if anyone's interested, but I'm more keen to hear from the experts here. Is this expected residual noise, or did I maybe configure something wrong? The last thing I want is to think I'm secure when there's a gap I don't understand.

Thanks, Tom