Lucnox Orbit · Control Layer for Enterprise AI Agents

Lucnox Orbit

Give enterprise AI agents a chain of command.

Map supported agents, identities, owners, permissions, and data reach across Microsoft-first environments, then turn governance gaps into reviewable evidence.

Orbit helps you answer:

Which agents exist?

Who owns them?

What can they access?

Which actions need human review?

What evidence supports the decision?

Request AI Tenant Assessment View product preview

MapCreate a governed inventory of agents, owners, identities, tools, workflows, and data reach.

GovernTranslate authority and data exposure into review paths and governance decisions.

ProvePreserve findings, decisions, limitations, and reviewer context as evidence.

Orbit Product Surface

See your AI workforce before it becomes a risk.

A product-first view of agent inventory, owner accountability, identity scope, permissions, data reach, approval paths, and evidence packages.

Agent Inventory

Owner

Identity

Permissions

Data Reach

Risk Score

Approval Required

Evidence Package

Orbit product previewNative 3840 x 2160

Orbit showsAgent Inventory

Orbit showsOwner

Orbit showsIdentity

Orbit showsPermissions

01Agent system of record

Supported agents, owners, identities, permissions, tools, workflows, and data touchpoints belong in one governed inventory.

02Authority before autonomy

High-impact actions should pass through policy, exception handling, and human review before they become business risk.

03Evidence by default

Approvals, exceptions, findings, and reviewer decisions should leave a defensible evidence trail.

The Point

Agents are not just software inventory. They are delegated authority.

AI agents are becoming delegated authority. Delegated authority needs governance. Orbit maps, governs, and proves that authority before it turns into unmanaged risk.

Map delegated authority

Show which agents exist, who owns them, what they can touch, and where their authority comes from.

Govern risky actions

Route sensitive actions through policy gates, exception handling, approval ownership, and escalation rules.

Prove every decision

Turn approvals, denials, exceptions, findings, and risk changes into evidence teams can defend.

Orbit Signals

Agent governance as an operating model.

Orbit frames agent autonomy as a control surface where policy, signal, decision, and evidence can be reviewed together.

Identity scopeMapped

Data boundarySensitive

Tool authorityElevated

Review pathRequired

Governance workbench preview

Preview

Policy definition

orbit.policy.ts

01policy Orbit.AutonomyGate {

02 when agent.dataSensitivity >= confidential

03 and tool.authority includes write_back

04 require ownerApproval within 4h

05 preserve evidence.timeline

06}

Evidence package

Ready for review

Decision trace

Control checks

09:41:12

agent.intake

Procurement Copilot requests supplier-contract access

Registered

09:41:14

policy.match

Sensitive Data Gate matched against SharePoint scope

Constrained

09:41:17

risk.score

Risk moved from 42 to 64 after data classification

Reviewed

09:41:20

decision.route

Human approval path queued for business owner

Waiting

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.

Microsoft control plane

Tenant-aware · Evidence-first · No credential exposure in the browser

OrbitOrbit governance hub

Entra ID

Identity, ownership, app roles

Mapped

Microsoft Graph

Permissions, directory, activity

Scoped

Purview

Sensitivity, policy, evidence

Classified

Microsoft Defender

Incidents, alerts, exposure

Observed

Copilot Studio

Agents, topics, actions

Governed

Teams & SharePoint

Teams, sites, files, collaboration

Bounded

Signal route

Connected signal sources

Ingest

Normalize identity, permission, agent, workflow, and activity signals.

Context

Attach owner, data sensitivity, business purpose, and system criticality.

Control

Evaluate policy gates, exception paths, and human decision requirements.

Evidence

Package decisions, findings, and posture into reviewable proof.

Identity

Risk

Evidence

API-first Control Layer

Built to plug into the systems enterprises already trust.

Orbit should not become another isolated dashboard. The control layer exposes structured inventory, policy decisions, risk changes, and evidence so existing security, GRC, ITSM, and data platforms can act on governed agent signals.

Integration posture

Tenant-scoped access patterns

Planned event delivery

Structured evidence payloads

Designed for security review

Control API

Where signals can flow

GET

Inventory export

Inventory, owners, platforms, authority, and current risk posture.

POST

Policy evaluation

Planned policy decisioning for sensitive agent actions.

GET

Evidence package

Reviewable evidence packages for reviews and escalations.

POST

Event delivery

Planned event delivery into security, GRC, and workflow systems.

SIEM

alerts and anomaly context

GRC

controls and audit evidence

ITSM

review queues and remediation

Data layer

posture metrics and history

Evidence payload

Event preview

01{

02 "agent": "finance-reconciliation-agent",

03 "action": "erp.write_back",

04 "risk_score": 88,

05 "decision": "requires_exception_review",

06 "evidence": ["owner", "policy", "scope", "timeline"]

07}

Inventory

Decision

Proof

Trust Center

Built for the review that comes after the demo.

Enterprise AI governance has to survive security review, architecture review, compliance questions, and executive scrutiny. Orbit presents trust as part of the product surface, not a PDF sent later.

Control posture

Readiness: Prepared for enterprise diligence

01Scoped

Tenant boundary

Governance data is modeled around tenant scope, ownership, role boundaries, and least-privilege access.

02Protected

Credential posture

Sensitive provider credentials and tokens should stay out of browser-facing workflows and review surfaces.

03Traceable

Evidence integrity

Policy decisions, approvals, exceptions, and findings are preserved as reviewable evidence trails.

04Ready

Review readiness

Security, compliance, and platform teams get the facts needed for vendor, risk, and architecture review.

Review packet

Access modelRole-based

Event deliveryPlanned

Evidence trailTimestamped

Browser exposureNo secrets

Diligence readinessPrepared

Use Cases

Use cases by team.

Security, AI platform, compliance, and audit teams buy governance for different reasons. Orbit gives each team a concrete path from visibility to control and proof.

Accountable team

CISO / Security Architecture

Review-ready workflow

Security

Trigger

A new agent requests sensitive data access or elevated tool authority.

Outcome

Risk, identity, data scope, owner, policy decision, and evidence are visible before approval.

Owner

Policy

Evidence

Governed path

Detect authority

Score exposure

Route review

Preserve proof

Operating signal

4 facts

ready before approval

Enterprise Proof

The product demo is only the first proof point.

Enterprise buyers need to see how Orbit connects product signals to architecture, decisions, evidence, and operating controls that security, compliance, and platform teams can trust.

Governance path

01 · Registered

Intake

Orbit captures owner, purpose, permissions, tools, and intended business workflow before the agent becomes operational.

02 · Constrained

Policy

Identity, data access, tool authority, and exception thresholds are checked against enterprise policy.

03 · Observed

Signals

Signals from activity, drift, risk, and approvals are correlated into a review-ready operating view.

04 · Auditable

Evidence

Approvals, exceptions, actions, and outcomes are preserved for compliance, incident review, and executive reporting.

Control architecture

01Discovery and AI asset inventory

02Permission and identity analysis

03Risk scoring and data access mapping

04Posture visibility and alert planning

05Compliance, audit evidence, and executive insight

06API-first control and future intervention layer

Signals Orbit correlates

Identity posture

Owner, role, tenant, privilege

Understand who is accountable for supported agents and which identities can authorize action.

Data exposure

Sensitivity, source, scope, retention

Connect agent activity to the data context that determines regulatory and business risk.

Tool authority

Connector, action, approval, blast radius

See which tools an agent can call and when human review must interrupt execution.

Operating behavior

Activity, anomaly, escalation, drift

Convert observed agent behavior into security, compliance, and platform-readable signals.

Evidence packages

Executive posture pack

Board-ready

Summarizes AI growth, unresolved risk, policy coverage, and accountable teams for leadership review.

Security review pack

CISO-ready

Connects agent identities, permissions, data exposure, operating behavior, and escalation history.

Compliance evidence pack

Review-ready

Preserves policy decisions, approvals, exceptions, audit events, and operational control records.

Security posture

Tenant isolation and role-based access control

Server-side authorization patterns

Audit-supporting evidence and timestamped event history

Least-privilege review and policy decision controls

API-first architecture for secure enterprise integration

Security-focused discovery and risk analysis without exposing secrets, tokens, or sensitive credentials

Roadmap

A first month that produces proof, not another governance deck.

The beta rollout is intentionally narrow: map the agent landscape, define control criteria, connect evidence, and give leadership a decision-ready view.

Operating model

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.

Beta Rollout Blueprint

Board-level proof

Week 1

Workstream 1

AI asset baseline

Map agents, copilots, service principals, automations, connectors, owners, and initial Microsoft posture.

Inventory foundation

Week 2

Workstream 2

Risk and policy model

Define scoring thresholds, sensitive systems, approval paths, exception handling, and review ownership.

Control criteria

Week 3

Workstream 3

Evidence flow

Connect activity, policy decisions, alerts, and audit history into an evidence-first operating surface.

Proof pipeline

Week 4

Workstream 4

Executive governance review

Package posture, unresolved risk, ownership gaps, and next controls into a decision-ready briefing.

Governance motion

Product roadmap

From visibility to active control.

The beta starts narrow, but the product roadmap is explicit: prove the inventory, add governance, connect operational signals, then introduce control.

Now

Private Beta

Microsoft-first discovery, agent inventory, owner mapping, permission mapping, basic risk scoring, and evidence package prototype.

V1 Governance

Policy Studio, approval workflows, Teams and email alerts, audit reports, API/webhooks, and admin roles.

Later

Enterprise Control

Policy evaluation concepts, SIEM/GRC/ITSM integrations, drift detection, optional enforcement, and multi-platform signals beyond Microsoft.

Private Beta

For teams that need control before scale.

The strongest first step is a focused Orbit Assessment: establish what exists, where authority sits, which controls are missing, and what evidence leadership needs before autonomy scales.

Best-fit teams

Microsoft-first identity, security, compliance, or Copilot Studio environment

Active internal agent, automation, or AI workflow program

Need for policy control, audit evidence, and executive risk visibility

Security, compliance, or platform sponsor willing to shape early workflows

Private Beta Assessment

A focused assessment before a product rollout.

The beta should start with a narrow operating question, not a generic demo. In the first conversation, we qualify the environment, the governance owner, and the proof package worth building first.

Scope the agent landscape

Identify the Microsoft systems, agent types, owners, workflows, and first governance questions that should be assessed.

Map control and evidence gaps

Review where authority, permissions, human approval, operational visibility, and audit-supporting evidence already exist or are missing.

Define the beta path

Turn the assessment into a focused pilot plan with stakeholders, success criteria, and the first proof package.

What the assessment should produce

Agent and owner inventory baseline

Authority, permission, and evidence gap map

Priority governance scenario for first beta evaluation

Executive-ready rollout recommendation

Contact Lucnox Inspect evidence preview

Request private beta access

Tell us enough to understand whether Orbit can help and which first assessment path would be useful.