N-able launches shadow AI visibility for enhanced cybersecurity

N-able introduces Shadow AI Visibility to monitor AI tool usage, enhancing organisational security and compliance strategies.

  • Thursday, 2nd July 2026 Posted 3 hours ago in by Sophie Milburn

N-able has introduced its latest offering, Shadow AI Visibility, across its Unified Endpoint Management (UEM) platforms, N-central and N-sight, as well as its security operations solution, Adlumin. The feature is designed to provide IT and security teams with visibility into the use of AI tools across managed environments.

As organisations increasingly adopt AI technologies, employees may use AI-powered applications, browser extensions, developer tools, and SaaS platforms outside of formal governance processes. This activity is commonly referred to as “shadow AI” and can create security, compliance, and operational challenges.

Shadow AI Visibility is intended to address this by enabling organisations to monitor AI usage without requiring additional agents or separate management consoles. By integrating with N-able’s existing platforms, it provides an inventory of AI tools in use to support governance and oversight.

The capability includes:

  • Endpoint and Network Visibility: Identification of AI applications, browser extensions, and developer tools used within the network.
  • Classification and Governance Insights: Categorisation of detected AI tools by type, model family, and approval status to support governance decisions.
  • Identity and Device Attribution: Mapping how and where users interact with AI services and linking activity to specific users and devices.
  • Integrated Workflows: Availability within N-central, N-sight, and Adlumin for querying and reporting on AI usage data.

For managed service providers (MSPs), Shadow AI Visibility can be used to support client AI governance activities such as usage assessments, risk reviews, and policy recommendations.

The introduction of Shadow AI Visibility adds a capability for organisations using N-able platforms to monitor and manage AI tool usage with the aim of supporting security, compliance, and governance requirements.