Simple hidden prompt injection — white-on-white text, HTML comments, and invisible Unicode — no longer works against modern LLMs. Pattern recognition, boundary isolation, and spotlighting have closed those loopholes. But more sophisticated attacks still work. LLMs can’t reliably distinguish between content and instructions. That’s a structural property of how they process text, not a bug waiting to be patched. The attack surface has expanded to include your brand assets, AI agents, vendor stack, and customer-facing workflows. How your help center becomes a phishing trap ChatGPhish is the clearest example . Attackers embed malicious payloads…
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