Skip to main content
Add as a preferred source on Google


Find & ID Network Anomalies Faster

  • 11/01/95
The LAN-hopper utilizes centralized software-directed switching for network analyzers, enabling technical personnel to troubleshoot multi-LAN environments without changing the physical location of the analyzer. Its sole goal is to minimize network downtime. Menu-driven software communicates with an Ethernet Port Switching Matrix (either 8- or 16-port units). A scan feature allows user definition and execution of an unattended LAN scan, keeping a history file to correlate with an analyzer trace. Other units are RING-hopper, for Token Ring LANs; UTP-hopper for UTP-based LANs; and WAN-hopper, for Wide Area Networks. LAN-hopper Systems, Inc., Atlanta, GA, (800) 350-5540.

Featured

  • lock symbol with quantum bits in dynamic motion

    Microsoft Accelerates Quantum-Safe Security Timeline

    Microsoft is speeding up its quantum-safe security timeline, noting that advances in quantum computing and new federal requirements have pushed post-quantum cryptography from a future planning issue into an immediate engineering priority.

  • group of smiling teachers

    NAAIC Expands AI Workforce Development Efforts to High Schools

    The National Applied AI Consortium, a National Science Foundation-funded initiative led by Miami Dade College, Houston City College, and Maricopa Community Colleges focused on artificial intelligence education and workforce development, is expanding its mission into high schools.

  • abstract data flow

    Google Announces New Gemini Enterprise Agent Platform

    Google Cloud has introduced a new platform for building and managing enterprise AI agents, as the company seeks to turn its Gemini models and Vertex AI tooling into a broader system for automating business workflows.

  • large cloud icon with abstract code and interconnected polygons

    Report: Enterprise AI Workloads Are Tipping Toward Private Cloud

    Broadcom's 2026 Private Coud Outlook report says enterprise AI is moving from experimentation into production, with private cloud emerging as the preferred deployment environment for AI inference among surveyed organizations.