EthersFlow is built for organizations where prompt data, tool invocations, and agent actions cannot be stored, reused, or fed into foundation model training loops.
All reasoning chains, parameter payloads, and tool-call arguments submitted to /api/v1/verify or the interactive Review Console are evaluated in volatile memory. No prompt text or tool payloads are written to disk or persistent databases.
Audit trails record cryptographic verification hashes (Ed25519-EdDSA attestations, consensus scores, and policy reason codes). The underlying operational payloads are never persisted on EthersFlow servers unless explicitly designated under opt-in durable mode.
Under no circumstances is customer data, evaluation input, or model deliberation utilized to train, fine-tune, or calibrate public or proprietary AI models.
User authentication credentials, OAuth session tokens, and provisioned B2B API keys are securely hashed using enterprise-grade cryptographic standards with strict tenant isolation.