Real AI Business Process Risks – LLM & RAG Attacks
Invisible Context Editing: How Hidden Attacks Undermine AI & RAG Pipelines
TL;DR ⏱️
- Malicious actors hide invisible instructions in PDFs
- LLMs & RAG pipelines can be silently manipulated
- Guard-rail models comparing PDF text vs OCR output can detect anomalies
Background
😦 Recent reports reveal a new class of attacks where invisible text is embedded into PDF layers.
These “invisible context edits” steer LLMs toward specific outputs.
The problem especially affects automated AI/RAG pipelines or manual reviews that don’t inspect the raw text layer.
What have I done:
🤖 I looked into reports on PDF prompt injection attacks.
🔍 The key technique: compare the extracted PDF text layer against OCR output of the rendered file.
📊 Large deviations may point to malicious invisible instructions embedded in the document.
IMHO:
🤯 This is a real business risk—not just an academic one.
· Credit or health insurance customers could exploit doctored PDFs for better terms.
· Even worse: malicious instructions could trigger unintended tool calls with real-world consequences.
Companies should add guard-rails and continuously monitor AI pipelines for hidden manipulation.
At Comma Soft AG, we keep an eye on such evolving threats. Message me if you want to brainstorm potential solutions. 🧠
❤️ Feel free to reach out and like if you want to see more of such content.
#ArtificialIntelligence #LLM #RAGAttacks