User Manual

Guide to the current prototype, including the newest evidence, privacy, and AI agent-control capabilities.

Evidence systems under study

New evidence, privacy, and agent-control features now implemented.

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.

codeimplemented surfacereview basisenterprise relevancestudy lens
A01
Tamper-Evident Audit Chainaudit_events
Hash chain + HMAC signatures

Gives enterprise reviewers a verifiable sequence of actions instead of a loose activity log that can be rewritten after the fact.

integrity
A02
HMAC Key Rotationsigning_keys
Versioned signing keys

Lets the audit chain keep cryptographic continuity while keys evolve, which matters for long-lived regulated environments.

continuity
P01
Encrypted PII With Lookup Hashessensitive_fields
Fernet fields + companion hashes

Protects sensitive identity fields while preserving operational search and ownership lookup without exposing plaintext.

privacy
G01
GDPR Data-Subject Rightsprivacy_requests
Export + erasure router

Supports export and erasure workflows so privacy review is part of the platform architecture, not a manual afterthought.

rights workflow
R01
Resource Mutation Evidenceresource_mutations
Shared audit hooks across routers

Turns creates, updates, deletes, executions, toggles, acknowledgements, and remediations into reviewable tenant-scoped evidence.

change lineage
AG1
AI Agent Registryagent_registry
Agent registry API + UI

Creates a controlled inventory for autonomous agents so organizations can study ownership, access, lifecycle, and operational state.

ownership

meghIQ is an automation-governance research platform focused on visibility, evidence integrity, privacy-preserving ownership, and control of AI-driven automation infrastructure. This manual covers the current prototype capabilities.

Key Capabilities

  • Automated discovery of all automations across platforms
  • Real-time monitoring and health scoring
  • Compliance monitoring and violation detection
  • Tamper-evident audit records and resource mutation evidence
  • Encrypted identity fields, lookup hashes, and GDPR rights workflows
  • AI-powered insights and predictive analytics
  • Dependency mapping and impact analysis