Know What AI Is Running Across Every Managed Endpoint
AI tools are being installed across managed environments faster than IT teams can inventory them. N-central and N-sight now detect and classify AI tools as a distinct category, directly in Assets View, with no new agent and no new deployment.
Employees install ChatGPT desktop apps, Copilot and Claude IDE extensions, browser plug-ins, and local models — often without approval or governance.
IT has no visibility into what’s running.
Proprietary data, customer records, and source code can flow into tools entirely outside your control.
What’s new
A continuously updated AI inventory.
The existing endpoint agent now identifies every AI tool installed across managed devices and classifies each one by category (LLM, code assistant, image generation, transcription, and more), vendor, and model family. AI is treated as its own detection category.
LLMs, code assistants, image generators, transcription tools, and more are identified and classified automatically.
Install state is tracked over time, not as a point-in-time snapshot. You can see when tools appeared and how usage is shifting across your environment.
Visible where you already work.
A new AI Services column in Assets View shows which devices are running which AI tools at a glance.
A dedicated AI Services tab in Asset Details lets you drill into specifics: service name, vendor, detection method, process state, and file path.
Governed data across every surface.
AI signals are exposed through the GraphQL API, MCP Server, and N-zo, so your existing queries, automations, and AI-driven workflows can act on them immediately.
Same data, every surface, no manual export.
Why this matters now
Auditors are starting to ask for AI inventories. Cyber insurers are adding AI governance questions to renewal applications. Compliance frameworks increasingly expect evidence of AI oversight.
This gives you the answer: a structured, audit-ready record of what AI is running, where, and on which devices.
Enforce acceptable-use policies with data, not assumptions.
Meet data-residency and compliance obligations with evidence you can produce on demand.
Prove exactly what AI is running when auditors, insurers, or leadership ask.
What’s ahead
This release covers AI tools installed on endpoints: desktop apps, IDE plugins, browser extensions, CLIs, and portable executables.
A significant portion of AI usage also happens over the network through browser-based services and API-level access that endpoint-only discovery does not reach. Future releases will expand detection in this direction.
A new version of the Patch Management Engine is being made available to N-central and N-sight assets. This release focuses on improving patch scan data quality, delta-logic handling for N-sight devices, and network fallback resilience when connected probes are inaccessible.
Improvements Included
Improved patch scan data quality and reliability: Prioritises results from the most recent scan and reduces reliance on PME’s cached metadata, improving the quality and reliability of patch data returned to the server. (PMCM-11358)
Improved delta-logic handling for N-sight devices: Enhances how delta-logic is applied across all N-sight devices, improving patch detection efficiency and consistency. (PMCM-11721)
Improved network fallback resilience for patch operations: Enhances fallback to direct internet access when a connected probe is inaccessible, improving patch download reliability in environments with intermittent probe connectivity. (PMCM-652)
To assist customers using endpoint protection or application control software, hashes for the PME installer and associated components are provided below.
We’re excited to announce that you can now include your company logo in Analytics reports, so the reports you share with customers clearly reflect your business and the service you deliver.
How does it work?
Upload and save the logo in the new Analytics settings space.
Any PDF or XLSX exports from the reports tab will automatically include the logo in the top-right corner.
How do I get started?
Make sure you are running N-central version 2026.2 and use a role with the Analytics ‘Manage Reports’ permission.
Learn more about the requirements of the logo file, setup, and behaviour of the feature in our online help.
Adlumin now surfaces AI tool usage by processes, endpoints, and users; powered by existing technology already protecting your environment.
AI tools are spreading across organisations faster than security and compliance teams can track them. Employees reach for ChatGPT, Copilot, Gemini, Claude and dozens of other AI services to accelerate their work, often without approval, governance, or any visibility from IT. This is Shadow AI: unsanctioned, unmonitored, and increasingly risky.
Adlumin’s new Shadow AI Visibility capability gives security teams a continuously updated inventory of which AI tools are being used, on which machines, by which users, and through which processes; so you can enforce acceptable-use policies before sensitive data leaves the organisation and produce the user-level, machine-level compliance evidence auditors and regulators demand.
In Cove 26.5, our integration with HaloPSA is now generally available for all customers. This native integration is designed to streamline ticketing workflows by auto-creating tickets for detected backup failures directly in your HaloPSA environment.
N-able considers various features and functionality prior to any final generally available release. As such, comments given in this forum are not (nor should they be interpreted to be) a commitment from N-able that it will deliver any specific feature or, if it delivers such feature, any time frame when that feature will be delivered. N-able is always trying to improve and enhance its products. All discussions herein are based upon product team current interests, and product team plans and priorities can change at any time.
You must be logged in to post a comment.