Confident Security builds CONFSEC, an end-to-end encryption tool that wraps around foundation models to guarantee prompts and metadata cannot be stored, seen, or used for AI training—even by model providers or third parties. CONFSEC anonymizes data by encrypting and routing it through services like Cloudflare or Fastly, applies advanced encryption that only allows decryption under strict conditions, and publicly logs the software running AI inference so experts can verify its guarantees. Modeled after Apple’s Private Cloud Compute architecture, the company positions CONFSEC as an intermediary vendor that hyperscalers, governments, enterprises, and AI companies can add to their stacks to unlock regulated markets. The startup came out of stealth with $4.2M in seed funding from Decibel, South Park Commons, Ex Ante, and Swyx, and says CONFSEC has been tested, externally audited, and is production-ready. The year-old, San Francisco-based team is in talks with banks, browsers, and search engines as potential clients and aims to provide provable privacy guarantees for cloud AI usage.

Total raised

$4M

Funding rounds

1

Latest round

Seed

Latest activity

Jul 2025