Technical documentation, architecture blueprints, and integration specifications for tamper-evident audit chains, privacy controls, and AI agent registries.
The latest backend work strengthens enterprise-grade governance: tamper-evident audit records, cryptographic key rotation, encrypted sensitive fields, GDPR rights workflows, resource mutation evidence, and an AI Agent Registry.
Gives enterprise reviewers a verifiable sequence of actions instead of a loose activity log that can be rewritten after the fact.
integrityLets the audit chain keep cryptographic continuity while keys evolve, which matters for long-lived regulated environments.
continuityProtects sensitive identity fields while preserving operational search and ownership lookup without exposing plaintext.
privacySupports export and erasure workflows so privacy review is part of the platform architecture, not a manual afterthought.
rights workflowTurns creates, updates, deletes, executions, toggles, acknowledgements, and remediations into reviewable tenant-scoped evidence.
change lineageCreates a controlled inventory for autonomous agents so organizations can study ownership, access, lifecycle, and operational state.
ownershipA comprehensive guide to setting up and using meghIQ for the first time.
Learn how to effectively discover and catalog automations across your enterprise.
Complete guide to setting up and monitoring compliance with GDPR, HIPAA, and SOX.
Notes on tamper-evident audit chains, encrypted identity fields, lookup hashes, and GDPR rights workflows.
Complete API reference for integrating meghIQ with your systems.
Step-by-step guides for connecting Zapier, Power Automate, GitHub Actions, and more.
Comprehensive user manual covering all features and capabilities.
Common issues and solutions for using meghIQ.
How the discovery pass reads existing platforms and returns a complete inventory of automations — known, forgotten, and their dependency edges.
Real-time evaluation of policy rules against discovered automations, with continuous drift detection and tamper-evident evidence capture.
Surfacing consolidation candidates from runtime data — overlap detection across triggers and downstream effects, ranked by impact.
Walking the reasoning chain — decision, entity, confidence, and prev-hash link — for a HMAC-signed audit record.
Research collaborators can request bespoke test harnesses, verification datasets, and protocol walkthroughs directly from the maintainers.