The AI assistant integrated into N-sight and N-central solutions makes it possible to significantly improve IT security
PRAGUE, 24 August 2026 – ZEBRA SYSTEMS, distributor of N-able solutions in the Czech and Slovak markets, announced that the N-able N-sight and N-able N-central UEM solutions include vulnerability scanning and patch management capabilities on the unified Ecoverse platform, now with support for N-zo, an agentic AI assistant integrated directly into both solutions. This enables MSP providers to eliminate the time between vulnerability detection and remediation, thereby preventing their exploitation.
Artificial intelligence has turned cybercrime into an economic sector. Threats now spread within hours, while traditional patch deployment cycles still take days and weeks. N-sight and N-central bridge this gap with a complete workflow that includes scanning, prioritization, remediation, and verification. This applies across Windows, macOS, Linux, and more than 340 third-party applications, all from the single N-able UEM platform that IT teams already use today.
The redesigned patch management enables vulnerabilities to be ranked by their exploitation potential using CVSS, KEV, EPSS, and device type systems, providing clear information on the impact on a given IT environment for any CVE.
The AI assistant further extends these capabilities with two new modules:
- N-zo Vulnerability Expert, which combines CVSS scores, CISA KEV, EPSS, and device context to assess vulnerabilities according to real-world risk, evaluate security priorities, and provide a comprehensive overview.
- N-zo Patch Expert, which, among other things, helps diagnose why patch installation failed and what to do next, without the need to search through logs or vendor recommendations.
N-zo is an AI assistant introduced this year and integrated directly into both N‑able UEM solutions. It analyzes current device information and monitoring data and delivers up to 70% faster IT operations, enabling users to quickly gain an overview, shorten troubleshooting, reduce risks, and stay informed through reporting based on any parameters.
Article author: ZEBR.ai editorial team
