AI safety guardrails designed to prevent misuse are creating an asymmetry that disadvantages security defenders more than attackers. Enterprise AI systems routinely block legitimate security work like phishing simulations, red teaming, and penetration testing, while threat actors freely use jailbroken models, open-source alternatives, and underground tools like WormGPT variants. Research shows multi-turn prompt attacks bypass guardrails at 60-92% success rates, and AI-generated phishing outperforms human-crafted attacks. The piece argues for authorization-based safety models that verify legitimate security use rather than relying solely on content filtering, pointing to OpenAI's 'trusted access program' as a step in the right direction. The core argument: when AI guardrails widen the offense-defense gap, they undermine security regardless of intent.
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