BlocklogAI Compliance
Core Concepts

Decisions, Cryptography, and Accountability

Understand why Blocklog exists, how cryptographic evidence is structured, and how it satisfies regulatory scrutiny.

Philosophy

Observability vs. Accountability

Traditional observability tools such as Datadog and Splunk are optimized for speed, indexing, and operational debugging. That makes them excellent for searchability, but not ideal for non-repudiable evidence when administrators or compromised credentials can alter log history.

Blocklog is purpose-built for regulatory accountability. The goal is to preserve mathematical proof of system state, inputs, model versions, and human approvals in a format that regulators can independently verify without trusting the application database.

Architecture

The Four Layers of Integrity

Append-only storage

API endpoints expose no edit or delete operations. The log stream is synchronized to immutable WORM storage.

Cryptographic hash chaining

Logs are chained sequentially with SHA-256, so downstream tampering immediately invalidates the entire chain.

Merkle batching

Periodic batches construct Merkle trees so a single Merkle root can represent and prove inclusion for any decision.

Ed25519 signing

Evidence packages and Merkle roots are signed for long-term independent verification outside the operational database.

Why This Matters For Indian Regulations

Under DPDP Act 2023 and RBI AI/ML guidelines, Data Fiduciaries and regulated lenders are legally accountable for proving how automated decisions were computed. It is not enough to show that a decision occurred — you must be able to reconstruct the exact model version, input features, prompt templates, and human approval trail.

Decision Logging

Preserve why an action was taken, including inputs, prompt versions, confidence scores, and authorizing actors.

Cryptographic Signing

Logs are sealed with SHA-256 and Ed25519 signatures, enabling non-repudiation and independent auditor verification.

Forensic Reconstruction

Reconstruct decision timelines, model lineages, and human intervention trails within 200ms.