Aviz Network Copilot R1.6.0 details UI agent onboarding and connector updates

Aviz Network Copilot (NCP) R1.6.0 adds UI-driven SDK agent onboarding, expanded dashboard analytics, Offline Log Analysis support, BigQuery data connector integration, and a Forward Data Connector with validation coverage for connector lifecycle and health.

Research Overview

The vendor describes NCP R1.6.0 as a NetOps-oriented release that updates operational workflows and reporting, including agent management and system visibility features in the NCP interface.

The release brief also documents validation activities, including regression and system integration testing, Offline Logs compatibility checks, and deployment validation for OVA/OVF packaging.

Key Findings

R1.6.0 provides a fully UI-based onboarding process for user-created SDK agents, replacing the prior approach that required CLI-based agent package uploads.

The update extends analytics and offline analysis functions, and adds data connector capabilities that support large-scale network analytics through BigQuery while including a Forward Data Connector validation scope.

Technical Breakdown

For agent onboarding, the brief describes a UI-driven workflow for uploading agent packages with separate onboarding paths for admin and non-admin users, intended to support role-based access and operational control.

The Agent Management page is described as a way to view agent attributes such as name, description, version, status, upload timestamp, and the uploading user, along with actions for viewing details, removing agents, and providing feedback for both admin and non-admin users.

Dashboard Analytics and Offline Log Analysis

The dashboard is described as centralized analytics across users, projects, chats, LLMs, SDK agents, devices, and data connectors, with enhanced visualization intended to monitor usage trends and system activity.

For Offline Log Analysis, the brief says R1.6.0 adds support for configuration retrieval, inventory management, device discovery, interface and protocol analysis, and security and compliance checks, and it includes a generic agent for analyzing files uploaded to NCP.

The vendor also states that R1.6.0 adds support and validation for Offline Logs for region-specific requirements, with compatibility and optimized performance included in the documented scope.

Data Connector Updates: BigQuery and Forward Data Connector

BigQuery integration is described as a Data Connector UI configuration that requires a connector name and a JSON key for authentication, enabling NCP to query and analyze large datasets within its ecosystem.

The Forward Data Connector validation scope in the release brief covers UI-based Data Connector onboarding, ensuring the Forward DC is up and running, lifecycle events for activation, deactivation, and removal, and monitoring the data connector dashboard for health status.

Operational Impact and Deployment Validation

The deployment section describes evaluation of NCP using OVA/OVF packages as an alternative to a traditional Ubuntu server installation, followed by post-deployment validation that includes integration with an ONES data connector and testing of prompt responses for expected system behavior.

The brief states that the release passed defined validation scope for reliability, functionality, and security, including regression and SIT validation and Snyk compliance checks that reported the absence of critical vulnerabilities.

Across the documented capabilities, the vendor includes response-time reporting for flow record-related prompts as under two minutes, and it lists additional data connector integrations referenced in the dashboard and validation context such as ELK and Splunk.

NCP R1.6.0 combines UI-based agent onboarding with expanded analytics, Offline Log Analysis support, and data connector integrations through BigQuery plus Forward Data Connector validation, with regression, deployment, and Snyk checks included in the acceptance scope; this “Blog Signals brief” is a fact-based summary of the vendor blog.