Endpoint Management
Unified endpoint lifecycle management with Intune integration, automated patching, and fleet intelligence
Endpoint Management unifies the entire device lifecycle — from provisioning through retirement — across heterogeneous fleets. DevOps AI integrates with Intune, NinjaRMM, and other endpoint agents to provide a single pane of glass for device health, compliance, and security posture.
What You'll See
Real screens from the DevOps AI control plane — populated with representative data.
8 Process Areas
Each process area is classified with a Human-in-the-Loop (HITL) gate level — defining the boundary between AI autonomy and human oversight. Click any process area for a deep dive.
Intune Management & Compliance
L1 — NotifyFull Intune lifecycle management with compliance policy enforcement, conditional access configuration, and device enrollment automation.
Deep Dive →Infrastructure Monitoring
L0 — Fully AutomatedAgent-based monitoring for CPU, memory, disk, and process health with automated alerting and self-healing scripts.
Deep Dive →Device Lifecycle Management
L2 — Approve to ProceedEnd-to-end device lifecycle from procurement and provisioning through maintenance, refresh, and secure disposal.
Deep Dive →Automated Patching
L1 — NotifyOS and application patching with staged rollouts, compliance reporting, and rollback capabilities.
Deep Dive →Vulnerability Management
L1 — NotifyContinuous vulnerability scanning with risk-prioritized remediation queues. Integration with CVE databases for real-time threat context.
Deep Dive →DNS Filtering
L1 — NotifyDNS-level content filtering and threat protection with policy management per client, department, or device group.
Deep Dive →Remote Access & Support
L2 — Approve to ProceedSecure remote access with session recording, just-in-time elevation, and audit trail for every remote action.
Deep Dive →Fleet Intelligence
L0 — Fully AutomatedCross-client device intelligence — hardware lifecycle predictions, software license optimization, and standardization recommendations.
Deep Dive →Universal Agent Platform
L1 — NotifyUnified agent management layer that normalizes telemetry and control across multiple RMM agents — providing a single pane of glass for multi-vendor endpoint fleets.
Deep Dive →Endpoint Telemetry & Analytics
L0 — Fully AutomatedReal-time endpoint telemetry collection and analytics — CPU, memory, disk, network metrics with anomaly detection and predictive failure analysis.
Deep Dive →Understanding HITL Gate Levels
Every process area in DevOps AI is classified by its Human-in-the-Loop (HITL) gate level — defining when AI acts autonomously and when human approval is required.
AI executes autonomously with full logging. No human approval needed. Examples: ticket classification, monitoring alerts, report generation.
AI executes and notifies the assigned human. Human can review, override, or escalate after the fact. Examples: SLA predictions, patch scheduling.
AI prepares and recommends, but a human must explicitly approve before execution. Examples: change requests, contract modifications, campaign launches.
Humans perform the action with AI providing decision support only. Examples: legal review, privileged access approval, incident legal response.
Who Uses Endpoint Management?
See how Endpoint Management transforms daily operations for these roles.
Works With
Endpoint Management integrates deeply with these operational zones.