Common questions regarding meghIQ's research architecture, non-commercial collaborator model, evidence verification mechanisms, and privacy guarantees.
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.
ownershipmeghIQ is an enterprise automation governance platform that helps organizations discover, monitor, govern, and optimize all their automations across multiple platforms. We provide complete visibility, compliance monitoring, cost optimization, and AI-powered insights for your entire automation ecosystem.
If your research scenario requires specific verification characteristics or architectural details not answered here, feel free to contact the maintainer directly.