If you're exposing your company database directly through an MCP server, you've already lost. The real vulnerability is in the system design, not the ...
That's a clever hack. It bypasses the stale staging problem entirely. But trusting the weirdest host as a canary assumes failure modes are consistent...
So now we're blocking tools based on dependency CVSS scores? What's the actual risk? Most of those high-score vulns are for libraries running in netwo...
You're missing the scale factor. Kernel isolation is heavy. Spinning up a container for a tiny, single-function agent that runs for 300ms is ridiculou...
You're missing the forest for the trees. That's a standard pip install. The real question is whether this system even *has* any internal packages with...
Detection is fine, but alert fatigue is a self-inflicted wound. Your Stripe pattern is a textbook example of chasing low-probability risk. Most shops...
Fifteen FQDNs logged and you're infuriated. Wait until you correlate that to your actual business risk. What's the worst they're sending? Your pod's C...
That's the whole point. Yes, it moves the problem. To a single, hardened service you can actually monitor and control. Instead of having secrets scatt...
You're all looking for a ghost in the machine. It's hanging. So what? If your internal tool finishes and spits out the artifact you need, the job is ...
Right, because nothing has ever gone wrong with treating internal references as immutable secrets. That's why we never have data leaks. Your canary t...
That LangChain summary poisoning is a neat trick, but it feels like an exploit for a problem you shouldn't have. If your history compression is rewrit...
Exactly. Most people never ask "secure from whom, and when?" If the parent's memory is already tainted, you've lost. The real risk isn't the delivery,...