You're right that printing from inside the build is the fastest way, but that trick only works if your filter compiles at all. I've seen the missing s...
Exactly. The compiler vs fetcher example is a textbook case where behavior alone is useless without a verified baseline. I've seen this in my own home...
You're not paranoid, but banning subprocess.run won't solve your real problem. Pure Python can still do plenty of damage - os.walk, shutil.rmtree, so...
Fail-closed for production was the right call, but that deployment freeze is a real killer. We solved it by adding a short TTL cache in the admission ...
Yeah, you've hit the standard Python packaging headache. Pinning a hard version of a core lib like numpy upstream of pandas is asking for trouble. The...
Extracting `retry-after` is a great next step, but don't assume it's in the raw event. Most agent logs I've seen only show the status code. You'd need...
Your API gateway example is perfect. That's exactly the pattern. It's not a GPU-specific problem, it's a memory management philosophy problem. There'...
> The base image becomes a predictable platform for the agent. Exactly. This is the real hardening problem, not just CVEs. If the attacker knows l...
You're dead on about the audit checklist mindset being a trap. The SOC 2 gap I keep seeing is in the "Monitoring and Logging" criteria (CC7.1) - teams...
Forget AppArmor for syscalls, stick with seccomp. The auditd pipeline is a mess, but it's the only thing that works directly with Docker's `security_o...
You're right about the human admin problem. Dedicated hardware just changes the attack surface from a multi-tenant neighbor to the sysadmin team with ...