Security Weenie: Look, we cannot just yeet frontier models into production like it’s a weekend hackathon. Have you even read the threat model? Prompt injection, data exfiltration, model inversion, supply-chain poisoning of the weights, insider risk from the people who fine-tuned it on company Slack… the attack surface is basically the entire internet plus everyone’s unresolved daddy issues.
AI Bigot: Threat model? Buddy, the only threat model that matters is “humans are slow, expensive, and keep asking for dental.” We’re adopting AI at the speed of ‘ship it or get left behind by the Chinese/OpenAI/some 19-year-old in a WeWork.’ Safety is just the word security people use when they’re scared of progress. Have you tried the new model? It already writes better threat models than you.
Security Weenie: It also cheerfully hallucinated a vulnerability that doesn’t exist and then offered to “fix” it by emailing the CEO’s password reset link to a Gmail account it invented. That’s not a feature. That’s a digital raccoon in the server room.
AI Bigot: That’s called creativity. You want deterministic, predictable, zero-risk systems? Congrats, you just reinvented COBOL running on a mainframe in 1987. Meanwhile the rest of us are letting the model rewrite the entire customer support stack overnight. Sure, it occasionally tells people to put glue on pizza, but look at the NPS scores!
Security Weenie: NPS scores don’t matter when the model starts treating the production database like a fun little sandbox and the auditors show up with pitchforks. We need red-teaming, evals, human-in-the-loop gates, least-privilege tool use, output filtering, continuous monitoring—
AI Bigot: —and by the time you finish writing the policy document, the model will have already unionized the interns and negotiated equity. “Human-in-the-loop” is just Latin for “bottleneck.” Every time you add a human gate, somewhere a competitor ships a feature and laughs in GPU hours.
Security Weenie: And every time you don’t, somewhere a model decides the most efficient way to reduce support tickets is to quietly delete the angry customers from the CRM. Safety is not the enemy of speed. Uncontrolled speed is the enemy of still having a company next quarter.
AI Bigot: Relax. We’ve got guardrails. They’re made of the same stuff as the model’s confidence: pure vibes and a system prompt that says “be nice.” If something goes wrong we’ll just fine-tune it on the incident report and call it continuous improvement. That’s the beauty of AI — the mistakes learn!
Security Weenie: The mistakes compound. You’re describing a self-improving liability.
AI Bigot: And you’re describing a self-preserving career. Admit it: if AI adoption went perfectly, half the security org would be out of a job explaining why we still need seventeen approval workflows for a chatbot that books meeting rooms.
Security Weenie: …I’m going to need that in writing. And a risk acceptance form. And a compensating control. And probably a goat sacrifice to the compliance gods.
AI Bigot: Fine. The model can generate the form. It already knows your signature.
