EVIDENCE MODEL
Every AI action — approved or denied — produces a signed, immutable record committed to the Hydra Ledger before execution. Your audit log exists before you need it.
EVIDENCE STRUCTURE
Every ERTuple captures the complete decision context:
The ERTuple is not logged after the fact. It is committed to the immutable Hydra Ledger before the action is permitted to execute. If the ledger commit fails, the system enters SAFE_STATE — no exceptions.
LEDGER ARCHITECTURE
Each ERTuple contains the cryptographic hash of the previous ERTuple. This creates an immutable, tamper-evident chain. Any modification to a past record breaks all future links.
ERTuples are signed using keys stored in a Trusted Execution Environment (TEE). The signature cannot be forged without access to the TEE's private key.
For distributed deployments, multiple parties sign and attest to the ledger state. Permits require consensus, not just single-party authorization.
The Hydra Ledger is queryable and auditable. Regulators, auditors, and compliance teams can verify any decision in real time, without latency penalty.
FOR REGULATORS
You can prove that a decision was made by which system, at what time, based on which predicates.
You can prove that evidence was committed before the action was permitted. Proof comes before execution.
You can prove that the record has not been tampered with since it was committed. The chain integrity is cryptographically verifiable.
You can demonstrate to regulators that autonomous AI at scale has governance. The evidence exists. The rules held. The boundary held.
Every action creates evidence. Every evidence is committed. Every commitment is immutable.
Your Ghost Transaction Log exists before the regulator calls. Your audit trail is built in real time. No retrofitting. No forensics. No theater.