A structured methodology for discovering enterprise automations, classifying execution semantics, and cryptographically preserving evidence across distributed agent systems.
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.
ownershipConnect your automation platforms (Zapier, Power Automate, GitHub Actions, AWS Lambda, etc.) and let meghIQ automatically discover and catalog all your automations.
Discovery & Scanning Telemetry Stream
Our AI-powered engine analyzes each automation, creating DNA profiles, health scores, and relationship maps to understand your entire ecosystem.
Analysis & Intelligence Telemetry Stream
Record compliance review, acknowledgements, remediations, auth events, and resource mutations into a tamper-evident evidence trail.
Evidence & Compliance Telemetry Stream
Keep sensitive identity fields encrypted, support GDPR export and erasure, and maintain an explicit registry of AI agents under study.
Privacy & Agent Control Telemetry Stream
Deterministic evidence verification paired with end-to-end automation governance.
See every automation across all platforms in one unified dashboard.
AI-powered analysis reveals patterns, risks, and opportunities you never knew existed.
Compliance monitoring and remediation happen automatically, saving hours of manual work.
Preserve reviewable evidence for the actions that create, change, execute, remediate, or delete enterprise automation resources.
Rapid rollout and progressive discovery across hybrid automation infrastructure.
Connect automation platforms via standard connector APIs and webhook relays. Guided integration establishes non-privileged telemetry capture.
meghIQ scans and indexes runtime topologies, building the automation asset inventory and cross-system dependency graphs.
Execution DNA profiling, health metrics, and drift detection commence. High-risk actions are surfaced for security review.
Real-time monitoring, HMAC-signed audit append logs, compliance remediation workflows, and multi-agent health tracking.
meghIQ is an independent research initiative focused on automation evidence, AI agent oversight, and cryptographic verification. Research collaborator access is provided on a non-commercial basis.