Startup Confident Security aims to be “the Signal for AI.” The company’s product, CONFSEC, is an end-to-end encryption tool that wraps around foundational models, guaranteeing that prompts and metadata can’t be stored, seen, or used for AI training, even by the model provider or any third party. The company wants to serve as an intermediary vendor between AI vendors and their customers — like hyperscalers, governments, and enterprises. CONFSEC is modeled after Apple’s Private Cloud Compute (PCC) architecture, which “is 10x better than anything out there in terms of guaranteeing that Apple cannot see your data” when it runs certain AI tasks securely in the cloud. Like Apple’s PCC, Confident Security’s system works by first anonymizing data by encrypting and routing it through services like Cloudflare or Fastly, so servers never see the original source or content. Next, it uses advanced encryption that only allows decryption under strict conditions. Finally, the software running the AI inference is publicly logged and open to review so that experts can verify its guarantees. CONFSEC is also well-suited for new AI browsers hitting the market, like Perplexity’s Comet, to give customers guarantees that their sensitive data isn’t being stored on a server somewhere that the company or bad actors could access, or that their work-related prompts aren’t being used to “train AI to do your job.”