AI Is Unsecurable: Four Things You Need To Do Now
The myth of “AI guardrails” is officially dead, and honestly, I’m relieved we’re finally stopping the charade.
I keep seeing organizations—especially in the public sector—waiting for a magic “security switch” from their AI providers that simply doesn’t exist. You cannot mathematically secure an LLM with rules-based guardrails; it is an engineering fantasy. When we rely on provider promises instead of our own defensive architecture, we aren’t managing risk, we are just hoping for the best.
In my view, European leaders need to stop looking for a “safe” model and start building a resilient system around an inherently insecure one. This means moving away from passive guardrails and toward active threat modeling and operationalized monitoring. We have to accept that the attack surface is infinite, which means our defense must be specific, narrowed, and constantly monitored.
If you’re waiting for the provider to “fix” the model’s security, you’re already behind. How are you shifting your strategy from “guardrails” to actual threat modeling?
#AISecurity #ArtificialIntelligence #PublicSector #RiskManagement #AIGovernance
https://disesdi.substack.com/p/ai-is-unsecurable-four-things-you