The article introduces 'Disregard that!' attacks as a clearer term for prompt injection vulnerabilities in LLMs, explaining how shared context windows create security risks. It demonstrates how malicious actors can manipulate AI systems by injecting conflicting instructions into shared conversational contexts. The piece highlights the fundamental security challenge when LLM context windows contain both trusted and untrusted content.
Background
Prompt injection attacks have emerged as a critical security concern for large language models, where malicious inputs can override system instructions. The vulnerability stems from LLMs treating all content in their context window with equal priority, regardless of source trustworthiness.
- Source
- Lobsters
- Published
- Mar 25, 2026 at 10:30 PM
- Score
- 7.0 / 10