Assurance Kernel Active
The Assurance Kernel for
AI Evidence Integrity
Chain-of-custody artifacts • Deterministic mapping • Ordered remediation sequences
DETERMINISTIC MAPPINGS:
OMB M-25-21Federal Neutrality
EO 14179Ideological Bias Prevention
NYC AEDT§ 20-871
CA AB 3030Healthcare AI
Trace Chain Visualizer
Verify the deterministic decision path from regulation to forensic artifacts in real-time.
Chain of Custody
Append-only (immutable) audit stream with hash-verified chain-of-custody artifacts.
Human-in-the-Loop
Mandatory verification gates for high-risk decision nodes. No unverified logic enters the chain.
Evidence Integrity
Tamper-evident chain of custody with RLS-enforced tenant isolation.
IDENTITY→INTEGRITY→INTELLIGENCE→LEDGER
"If it isn't audit-logged, it didn't happen."
Compliance you can verify, not just trust.
Your current compliance tool is a screenshot repository. Screenshots can be faked. This is a live, cryptographic chain of custody for your AI.
◈Assurance Kernel Data Model Architecture
Production-grade schema with RLS, append-only audit logs, and full trace chains
Evidence Integrity Data Model
PK (Primary Key)
FK (Foreign Key)
T jsonb
T vector (pgvector)
T ENUM
T ? = nullable
━━━━━━┫
Crow's Foot (1:N) = One-to-ManyZero-Trust Isolation: RLS enforced on all tables via org_id
Append-Only Ledger: UPDATE/DELETE blocked (tamper-evident)
Forensic Replay: Full trace chains stored in decision_path JSONB
Deterministic Mapping: Evidence to requirements language