Provably Private AI Interactions for Enterprises

Confident Security provides a verifiably private inference API designed to ensure that AI interactions remain fully confidential, compliant, and protected from adversarial access. Built on open standards such as OpenPCC, the platform guarantees that prompts are never logged, retained, or used for training, offering cryptographic proof rather than policy promises.

Its architecture combines oblivious HTTP (OHTTP), blind signatures, remote attestation, TPMs, secure boot, confidential VMs, transparency logs, and reproducible builds to deliver end-to-end privacy for both commercial and custom-hosted models. Developers can instantly swap in Confident Security’s OpenAI-compatible API to access leading LLMs or run their own models with the same privacy guarantees.

Confident Security stands out by assuming financial responsibility for any breach or misuse, positioning itself as one of the strongest zero trust, verifiable privacy options for enterprises deploying AI. The company came out of stealth in July 2025 with $4.2 million in backing from Decibel, South Park Commons, Ex Ante, and Swyx.