1control layer
Govern agents, tools, policies, risk, and evidence from one operating surface.
Private Beta ยท Microsoft-first Enterprises
Lucnox Orbit
The control layer for enterprise AI agents.
Bring agentic workflows under policy, risk, identity, and audit control before they become business-critical infrastructure.
GovernA shared operating surface for teams accountable for enterprise AI risk.
ObserveA shared operating surface for teams accountable for enterprise AI risk.
ProveA shared operating surface for teams accountable for enterprise AI risk.
6live product views
Control Center, Discover, Inventory, Policy Studio, Observability, and Audit.
0public data claims
Private beta messaging stays evidence-led without invented customer logos.
The Problem
Enterprise agents are moving faster than enterprise control.
AI agents are starting to act inside high-value workflows. The hard part is no longer experimentation; it is proving that every action is governed, observable, and accountable.
01
Agents can now initiate work across identity, data, workflow, and business systems.
02
Security and compliance teams are asked to approve autonomy they cannot fully observe.
03
Platform teams need reusable controls before agent adoption turns into fragmented exceptions.
Who Orbit Serves
Built for the teams that must sign off on autonomy.
Enterprise agent governance is not owned by one function. Orbit gives security, compliance, and platform teams a shared language for approval, evidence, and operational control.
CISO and security
Bound agent autonomy with identity-aware controls, alerting, and incident-ready evidence.
Compliance and audit
Prove approvals, exceptions, policy decisions, and control effectiveness without manual evidence hunts.
AI platform teams
Give builders reusable governance primitives instead of bespoke guardrails for every workflow.
The Solution
Orbit turns agent governance into an operating model.
Lucnox Orbit sits above individual agents and below enterprise governance teams, translating policy into runtime decisions, risk signals, and audit-ready evidence.
01
Discover
Find agentic systems, owners, connectors, privileges, data flows, and runtime posture.
02
Decide
Apply policy gates, exception workflows, authority limits, and pre-execution checks.
03
Observe
Monitor activity, risk signals, identity drift, alerts, and operational telemetry.
04
Prove
Preserve audit trails, evidence packages, approvals, and governance outcomes.
Real Orbit Surface
Real product evidence, not concept art.
Orbit already has a working governance surface: command center, discovery, inventory, policy, observability, and audit views captured from the product prototype.
Orbit Modules
A modular control plane for the agent lifecycle.
Start with visibility, add policies where risk concentrates, and build toward auditable autonomy across the organization.
Agent Registry
A single inventory for agents, owners, privileges, tools, and business purpose.
Policy Gates
Approval paths, runtime constraints, and escalation rules before agents touch critical systems.
Risk Signals
Live scoring across autonomy, data access, tool actions, and policy drift.
Audit Timeline
Evidence-ready traces for who approved what, when agents acted, and why.
Control Architecture
A governance plane for every phase of agent autonomy.
Orbit is designed as the control layer between enterprise AI systems and the teams accountable for risk, identity, compliance, security, and business outcomes.
01Agent and asset registryOrbit layer
02Identity and permission graphOrbit layer
03Policy decision layerOrbit layer
04Risk and observability modelOrbit layer
05Evidence and audit vaultOrbit layer
Microsoft-first Positioning
Built for the environments where enterprise AI already lives.
Orbit is positioned for organizations standardizing identity, data protection, security operations, and AI enablement around the Microsoft ecosystem.
+
Designed for Microsoft-first enterprises with existing identity, security, and compliance programs.
+
Control concepts aligned with Entra, Purview, Defender, Microsoft Graph, and Copilot Studio environments.
+
Built for governance teams that need shared evidence across AI, security, compliance, and operations.
Enterprise Readiness
Built for the scrutiny that comes after the pilot.
A serious agent program needs more than a demo. It needs operating controls, defensible decisions, and evidence that survives executive and regulatory review.
Tenant-aware access and role-based control surfaces
Credential-free UI patterns for sensitive provider operations
Human review paths for critical autonomy and exceptions
Evidence-first workflows for audit, compliance, and executive review
Business Outcomes
Move from AI experimentation to governed operations.
Orbit is designed to make agent programs legible to decision-makers without slowing down the teams building them.
Shorten governance review cycles for agentic workflows
Reduce unmanaged agent and connector exposure
Create a common evidence model across security, compliance, and AI platform teams
Move from pilot-level oversight to operational control
Adoption Path
Start with visibility. Expand into control.
Private beta conversations should produce an implementation path that respects existing Microsoft investments, governance processes, and executive risk appetite.
Map
Inventory agents, connectors, owners, critical workflows, and Microsoft environment posture.
Control
Introduce policy gates, role-based review, exception handling, and operating thresholds.
Operate
Monitor risk signals, incidents, audit events, and executive readiness from one control layer.
Private Beta
Shape the control layer before agent governance becomes urgent.
We are speaking with enterprise teams building agentic workflows across security, compliance, operations, and internal automation.