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Notion AI: Unpatched data exfiltration

promptarmor.com

11–20 of 42 posts

Re: Notion AI: Unpatched data exfiltration

#12
post #6

People have learnt a little while back that you need to use the white hidden text in a resume to make the AI recommend you, There are also resume collecting services which let you buy a set of resumes belonging to your general competition era and you can compare your ai results with them. Its an arms race to get called up for a job interview at the moment.

[deleted]

Re: Notion AI: Unpatched data exfiltration

#13
This is @simonw’s Lethal Trifecta [1] again - access to private data and untrusted input are arguably the purpose of enterprise agents, so any external communication is unsafe. Markdown images are just the ones people usually forget about

[1] https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/

Re: Notion AI: Unpatched data exfiltration

#14
post #5

Securing LLMs is just structurally different. The attack space is "the entirety of the human written language" which is effectively infinite. Wrapping your head around this is something we're only now starting to appreciate. In general, treating LLM outputs (no matter where) as untrusted, and ensuring classic cybersecurity guardrails (sandboxing, data permissioning, logging) is the current SOTA on mitigation. It'll b…

It's pretty simple, don't give llms access to anything that you can't afford to expose. You treat the llm as if it was the user.

Re: Notion AI: Unpatched data exfiltration

#15
post #6

People have learnt a little while back that you need to use the white hidden text in a resume to make the AI recommend you, There are also resume collecting services which let you buy a set of resumes belonging to your general competition era and you can compare your ai results with them. Its an arms race to get called up for a job interview at the moment.

I wouldn't be surprised if people tried to document what LLMs different companies/vendors are using, in order to take advantage of model-biases.

https://nyudatascience.medium.com/language-models-often-favo...

Re: Notion AI: Unpatched data exfiltration

#16

Wow what a coincidence. I just migrated from notion to obsidian today. Looks like I timed it perfectly (or maybe slightly too late?)

How was the migration process?

I work on a plugin that makes Obsidian real-time collaborative (relay.md), so if the migration is smooth I wonder how close we are to Obsidian being a suitable Notion replacement for small teams.

Re: Notion AI: Unpatched data exfiltration

#17
post #14
post #5

Securing LLMs is just structurally different. The attack space is "the entirety of the human written language" which is effectively infinite. Wrapping your head around this is something we're only now starting to appreciate. In general, treating LLM outputs (no matter where) as untrusted, and ensuring classic cybersecurity guardrails (sandboxing, data permissioning, logging) is the current SOTA on mitigation. It'll b…

It's pretty simple, don't give llms access to anything that you can't afford to expose. You treat the llm as if it was the user.

I get that but just not entirely obvious how you do that for the Notion AI.

Re: Notion AI: Unpatched data exfiltration

#18
post #5

Securing LLMs is just structurally different. The attack space is "the entirety of the human written language" which is effectively infinite. Wrapping your head around this is something we're only now starting to appreciate. In general, treating LLM outputs (no matter where) as untrusted, and ensuring classic cybersecurity guardrails (sandboxing, data permissioning, logging) is the current SOTA on mitigation. It'll b…

I’m not convinced LLMs can ever be secured, prompt injection isn’t going away since it’s a fundamental part of how an LLM works. Tokens in, tokens out.

Re: Notion AI: Unpatched data exfiltration

#19
post #6

People have learnt a little while back that you need to use the white hidden text in a resume to make the AI recommend you, There are also resume collecting services which let you buy a set of resumes belonging to your general competition era and you can compare your ai results with them. Its an arms race to get called up for a job interview at the moment.

> People have learnt a little while back that you need to use the white hidden text in a resume to make the AI recommend you ...

I would caution against using "white hidden text" within PDF resumes as all an ATS[0] need use in order to make hidden text the same as any other text is preprocess with the poppler[1] project's `pdftotext`. Sophisticated ATS[0] offerings could also use `pdftotext` in a fraud detection role with other document formats as well.

0 - https://en.wikipedia.org/wiki/Applicant_tracking_system

1 - https://poppler.freedesktop.org/

Re: Notion AI: Unpatched data exfiltration

#20
post #5

Securing LLMs is just structurally different. The attack space is "the entirety of the human written language" which is effectively infinite. Wrapping your head around this is something we're only now starting to appreciate. In general, treating LLM outputs (no matter where) as untrusted, and ensuring classic cybersecurity guardrails (sandboxing, data permissioning, logging) is the current SOTA on mitigation. It'll b…

Dijkstra, On the Foolishness of "natural language programming":

[...]It may be illuminating to try to imagine what would have happened if, right from the start our native tongue would have been the only vehicle for the input into and the output from our information processing equipment. My considered guess is that history would, in a sense, have repeated itself, and that computer science would consist mainly of the indeed black art how to bootstrap from there to a sufficiently well-defined formal system. We would need all the intellect in the world to get the interface narrow enough to be usable,[...]

If only we had a way to tell a computer precisely what we want it to do...

https://www.cs.utexas.edu/~EWD/transcriptions/EWD06xx/EWD667...

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