Confident CONFSEC is a private AI inference wrapper that provides privacy and security guarantees for AI model interactions. The product ensures that prompts are never logged, retained, used for training, or sent to third parties, while maintaining complete anonymity for users. The system implements eight core technologies to achieve its security guarantees: Oblivious HTTP (OHTTP) for anonymous requests, blind signatures for content verification without exposure, remote attestation for identity verification, Trusted Platform Module (TPM) for secure data storage, transparency logs for tamper-proof records, secure boot with hardened OS, confidential VMs running in hardware-based trusted execution environments, and reproducible builds for binary verification. CONFSEC is designed around five key requirements: stateless computation where user data is not retained, enforceable guarantees through code and infrastructure rather than policy, non-targetability to prevent specific user compromise, no privileged runtime access for staff, and verifiable transparency for security researchers to audit the system. The product verifies that prompts are not tampered with and ensures system operators cannot access private computations. The architecture prevents data retention including logging and debugging, making it suitable for private, secure, and compliant AI use cases.