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Autonomous Endpoint Management with Raynet One

Autonomous Endpoint Management (AEM) is the next stage of evolution in Unified Endpoint Management. Raynet One continuously monitors your endpoints, prioritizes them based on risk, takes action in accordance with your policies, and verifies the results – all based on normalized and enriched IT asset data.

// Raynet One for Autonomous Endpoint Management

Autonomy you can trust – because it's based on real data

Unified endpoint management

In 2025, an average of 130 new software vulnerabilities were disclosed each day. Today, attackers often exploit vulnerabilities before a patch even exists.

Autonomous Endpoint Management (AEM) flips this principle on its head: Instead of triggering each task manually, you define policies, risk thresholds, and guidelines. Raynet One independently discovers, prioritizes, acts, and verifies the result.

The difference from other approaches: Raynet One starts with the data. Only after every asset has been discovered, normalized, and enriched with lifecycle and vulnerability information does the automation take action. This creates autonomy that allows your team to keep the system running continuously.

Unified endpoint management
// Discover to Automate

From transparency to autonomy: your endpoints in a closed loop

Discover

Inventory all endpoints and enrich your IT asset data with lifecycle and vulnerability information.

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Manage

Set policies, risk thresholds, and approvals, and decide for yourself which tasks Raynet One will handle.

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Automate

Let Raynet One prioritize, patch, and deploy based on risk – including automatic verification.

// From UEM to AEM

Our vision: protecting and managing endpoints – reimagined with AI

Unified Endpoint Management is the foundation: It allows you to centrally identify, manage, and patch your endpoints. Autonomous Endpoint Management builds on this foundation and enables AI to prioritize, make decisions, and take action based on trusted data. Our big picture illustrates what UEM does and how AEM complements it.

Chat-based Interaction
An AI assistant provides instant visibility into endpoint health, compliance, software status, and remediation actions – and can trigger approved fixes through natural-language requests.

Continuous Observation
Collect continuous device, application, configuration, security, and experience telemetry.

Context-Based Interpretation Determine whether a condition is an approved deviation, a risk, an anomaly, or a likely user-impacting issue

Autonomous Action
Execute a defined remediation – such as repair, update, restart, reconfigure, reinstall, etc.

Zuverlässige Validierung
Confirm that the endpoint returned to the desired state.

Predictive Analytics AI uses endpoint data to predict issues and trigger proactive remediation, reducing downtime and IT effort.
// Feature highlight

Reliable data as a foundation

Screenshot of the Raynet One interface showing third-party patching features

Raynet One transforms raw discovery data into unique software and hardware identities and adds information such as End-of-Life and End-of-Support statuses, as well as known vulnerabilities. This allows automation to make decisions based on reality, not on assumptions.

// Feature highlight

Autonomous Third-Party Patching

Screenshot of the Raynet One user interface showing Jamf and Intune integrations

Raynet One prioritizes patches based on actual business risk: exploitability, exposure, usage, and criticality. More than 50,000 quality-assured software packages for Windows and macOS are available shortly after the vendor’s release for precisely this purpose.

// Feature highlight

AI agents take over routine tasks

Grafik des Raynet One AI Agenten Raynee mit hervorgehobenen Funktionen wie Automatisierung, intelligente Analysen und Endpoint-Management

Raynet One’s AI agents handle routine tasks around the clock, resolve configuration discrepancies, and repair faulty agents without opening a ticket. You determine how far to turn up the controller.

// Feature highlight

Reliable validation with automatic rollback

Screenshot of the Raynet One user interface showing the Package Store for managing software packages

After every change, Raynet One checks whether it was successful, rolls back the change if necessary, and incorporates the result into the next decision. Its compliance reports reflect reality – not just a checkmark.

// Core functions

Core functions of Endpoint Management with Raynet One

Every decision that Raynet One makes independently requires functions that actually implement those decisions at the endpoint. AEM does not replace these core functions; rather, it uses them in a targeted manner, more quickly, and based on trustworthy data.

IT Asset Discovery & Inventory

Endpoint
Visibility

Dashboards & Reports

Deployment Manager

Mobile Device Management

OS
Deployment

Asset & Identity Management

Third-Party &
OS-Patching

Application Management

// FAQ

Questions and answers about Raynet One for Autonomous Endpoint Management

AEM is Endpoint Management, in which the platform continuously monitors endpoints, makes decisions based on risks and policies, takes the appropriate action, and verifies the result. People define the guidelines and monitor the results, rather than triggering each task themselves.

Yes. You can try Raynet One 30 days free of charge. Just type in your personal information into the contact form below and get access to all Endpoint Management capabilities in Raynet One.

AEM does not replace UEM; rather, it represents the next stage of maturity. Discovery, inventory, packaging, deployment, and patching remain the foundation, while AEM complements autonomous decision-making based on trusted data.

For example, risk-based third-party and security patching, correcting configuration deviations, self-healing, software distribution, removing unsupported software, and zero-touch deployment. Most customers start with third-party patching.

No. You define policies, risk thresholds, rollout phases, maintenance windows, and approval levels. Every action is documented and can be rolled back.
Autonomy acts based on what the system considers to be true. Non-normalized or duplicate asset data leads to erroneous decisions at machine speed. Raynet One therefore normalizes and enriches data before automated trading takes place.

Yes. Mobile Device Management is an essential part of modern Endpoint Management. Raynet One can manage almost all mobile devices and tablets, regardless of the operating system.

Yes. Faster patching reduces risks, and comprehensive documentation of every action provides evidence for audits.
// We are, where you are

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