This is why I insist that anthropomorphising LLMs is not only not a mistake, it's a best source of high-level intuition for these systems.
Long story short: on a systems diagram, LLM as a component isn't a substitute for a database engine or a data processing script. It's a substitute for a human operator.
So ask yourself, if a human operator starts dropping tables or messing up numbers in a report, just because that string was in the text it read, would you call for humans, what would you do? Do you believe it's possible to perfectly train people to ignore the messages you'd wish (after the fact!) they'd ignored, while retaining their ability to competently act on every other message?
Or would you instead design the deterministic parts of the systems to limit the blast radius of any single insider going rogue?
Wisdom says to do the latter.
> if a human operator starts dropping tables or messing up numbers in a report, just because that string was in the text it read
I would look at if the reaction was reasonable, and if it wasn't I would (eventually) fire the human. Now I'm fine with "fire the LLM", but I suspect that's not the answer you're hinting at.
Your example actually demonstrates why anthropomorphism is a bad idea.
LLMs are vulnerable to classes of attacks that humans just aren’t. In your framework, the way to prevent attacks is to… invent human consciousness?? It’s an impossible goal.
The fact is that humans are accountable and this, alongside training, makes it easy to align them to your own goals.
There’s always the possibility of rogue individuals (recent Apple incident), but the likelihood is very low. If you have a DBA that have write access to the prod DB, you don’t fear that a random text somewhere could trigger the deletion of your customers table. Because the DBA will self regulate (with the help of processes) to not do that.
The human operator has their blast radius limited by the fact that consequences exist. Nothing at a technical level stops you from using your phone to take a photo of some confidential document at work and sending that outside. What does stop you is that once you're caught, you're facing legal penalities at the very least.
Limiting the blast radius is harder than it sounds. Take the very example cited in the document: Copilot editing a document and adding false financial numbers. Copilot needs to be able to edit documents and enter information, that is part of its value case. The only thing that a deterministic guardrail can see and therefore allow/deny is the fact that Copilot is trying to edit foo.docx. It has no clue whether the edit is malicious or benign.
Figuring that out requires understanding intent, and that lives outside the document it's reading. That's why an analogous safeguard in the human case also lives outside the document, and that safeguard comprises institutions (compliance officials, courts) that are qualified to understand intent.