A01Hash chain + HMAC signatures
Tamper-Evident Audit Chain
Gives enterprise reviewers a verifiable sequence of actions instead of a loose activity log that can be rewritten after the fact.
meghIQ is an independent research effort, not a commercial product.
There are no paid plans, subscriptions, or licenses. Beta access is provided to research collaborators on a no-fee, non-commercial basis while the project is in active development.
meghIQ is currently maintained as an independent, uncompensated research project exploring how enterprises can govern, evidence, and audit AI-driven automations. The platform is under active development and is shared with a limited group of research collaborators for evaluation and feedback.
No commercial sales, subscriptions, licensing, or paid services are offered at this time. The maintainer receives no financial compensation, royalties, or equity payouts from the project.
Any future commercialization, hiring, or business operations are conditional on future regulatory milestones and are not currently in effect.
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.
Lets the audit chain keep cryptographic continuity while keys evolve, which matters for long-lived regulated environments.
Protects sensitive identity fields while preserving operational search and ownership lookup without exposing plaintext.
Supports export and erasure workflows so privacy review is part of the platform architecture, not a manual afterthought.
Turns creates, updates, deletes, executions, toggles, acknowledgements, and remediations into reviewable tenant-scoped evidence.
Creates a controlled inventory for autonomous agents so organizations can study ownership, access, lifecycle, and operational state.
Beta participation is no-fee and intended for organizations and researchers studying AI cost, automation governance, and operational oversight.
Hands-on access to the prototype discovery, cost-attribution, and governance modules for evaluation in your own environment.
Architecture documentation, technical write-ups, and direct conversations with the project maintainer.
Feedback from collaborators directly shapes which governance, cost, and oversight problems the project investigates next.
Participation is non-commercial. There are no fees, contracts of sale, or licensing terms attached to beta access.
Reach out to discuss the project, request access for evaluation, or share research interests. All access is granted on a non-commercial basis.
Contact the Research Team