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One Prompt Can Bypass Every Major LLM’s Safeguards
Researchers have discovered a universal prompt injection technique that bypasses safety in all major LLMs, revealing critical flaws in current AI alignment methods.
The method, dubbed “Policy Puppetry,” is a deceptively simple but highly effective form of prompt injection that reframes malicious intent in the language of system configuration, allowing it to circumvent traditional alignment safeguards. Unlike earlier attack techniques that relied on model-specific exploits or brute-force engineering, Policy Puppetry introduces a “policy-like” prompt structure—often resembling XML or JSON—that tricks the model into interpreting harmful commands as legitimate system instructions. External AI monitoring platforms, such as their own AISec and AIDR solutions, act like intrusion detection systems, continuously scanning for signs of prompt injection, misuse and unsafe outputs.
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