A new paper argues that your prompt injection defence can't win.
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Here's why that's not as bad as it sounds. Abdelnabi and Bagdasarian ("AI Agents May Always Fall for Prompt Injections," arXiv:2605.17634, May 2026) show that data-instruction separation, the dominant defence paradigm, fails to catch attacks built on contextual manipulation, and degrades legitimate behaviour when it tries. They reframe the problem through Contextual Integrity: an agent isn't just parsing data versus instructions; it's judging whether an information flow fits the norms of its…
1Key Takeaways
- Here's why that's not as bad as it sounds.
- Abdelnabi and Bagdasarian ("AI Agents May Always Fall for Prompt Injections," arXiv:2605.17634, May 2026) show that data-instruction separation, the dominant defence paradigm, fails to catch attacks built on contextual manipulation, and degrades legitimate behaviour when it tries.
- They reframe the problem through Contextual Integrity: an agent isn't just parsing data versus instructions; it's judging whether an information flow fits the norms of its….
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that here's why that's not as bad as it sounds.
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