AuditSpine replaces probabilistic watermarks with cryptographic sequence authority — so every pipeline decision is traceable, reproducible, and provably correct.
Standard streaming systems assign records to windows using probabilistic timestamps. AuditSpine assigns monotonic sequence numbers at ingest — decoupling event time from system truth and making every window closure deterministic and cryptographically sealed.
Every record receives a gapless monotonic sequence number. No wall-clock dependency. No late-arrival ambiguity.
Bronze → Silver → Gold medallion layers accumulate a SHA-256 hash chain. Once sealed, a window is immutable — appending a late record changes the hash and is detected immediately.
Every policy recommendation, tier transition, and ML signal is recorded with a four-field trace: what was recommended, what executed, signal freshness, approval required.
Local Pandas, Docker Spark, or GCP cloud — the chain hash is identical across all compute paths. Cross-tier parity is a test, not a claim.
The AuditSpine POC runs the NYC Taxi 2024 dataset — 2.9M records — through the full Bronze → Silver → Gold pipeline with live MLflow, real RMSE gates, and cross-tier chain hash verification. Results are published at the proof subdomain as they complete.
2.9M records. GCS-native parquet. SHA-256 input verified. Full medallion pipeline.
Tier 1 (local Pandas) → Tier 2 (Docker Spark) → Tier 3 (GCP Compute). Same chain hash at every tier.
Workshop paper submitted to QDB @ VLDB 2026 (Boston, Aug 31–Sep 4). Formal SAP impossibility proof for Delta Lake.
We are onboarding pilot customers now. Data teams, regulated industries, audit-sensitive workloads.
contact@auditspine.com