Strategic Architecture & Execution Plan
Generative AI is probabilistic. The Law is deterministic.
Mandates "continuous automatic recording of events" to ensure traceability throughout the lifecycle.
Requires manufacturers to demonstrate "provenance and traceability" of data used in clinical decisions.
Current tools (Datadog, Arize) provide Observability (mutable logs). Regulators require Attestation (immutable proof).
We are not building better logging.
We are building
the "Notary Public" for the Intelligence Age.
Glacis differentiates via Zero-Payload Egress. We separate the Assertion (the AI output) from the Attestation (the proof it followed policy).
Sensitive data stays in the customer's local CAS. Only cryptographic commitments leave the boundary.
Statistical Safety Signal Protocol. 0.1% sampling with mathematically rigorous confidence intervals (Clopper-Pearson).
Binds receipts to a specific binary version and 5-minute time window. Prevents "binary substitution" attacks.
Timeline: Q4 2025 - Q1 2026
Timeline: 2026+
How do we make this a global standard?
We will sponsor the open standard for the
"Cryptographic Receipt."
Similar to CloudEvents or
OpenTelemetry.
The Safety Fabric for Production AI