Galgus Features
Functionality (4)
Performance Monitoring
Continuously monitors network performance across the entire span of a network.
Alerting
Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures.
Improvement Suggestions
Suggests potential remedies or improvements to slowdowns, errors, or failures.
Multi-Network Capability
Provides monitoring capabilities for multiple networks at once.
Management (3)
Performance Baseline
Sets a standard performance baseline by which to compare live network activity.
Data Visualization
Charts or graphs live and historical network performance for quick status checking and analysis.
Path Analysis
Gives insights into which specific network paths are performing suboptimally.
Monitoring - Network Monitoring (3)
360-Degree Network Visibility
Offers full observability of all network environments, including on-premises, cloud, SD-WAN, WLAN, and edge computing.
Automated Network Discovery
Automatically detects and maps all network devices and architectures, reducing manual effort and improving visibility.
Real-Time Monitoring
Provides true real-time network monitoring to detect and resolve issues instantly, rather than relying on near-time data.
Analytics - Network Monitoring (2)
Predictive Performance Analytics
Uses AI-driven analysis of historical and real-time data to forecast network issues before they impact performance.
Packet & Flow Analysis
Combines packet and flow analysis techniques to provide a comprehensive view of network traffic and performance.
Security - Network Monitoring (3)
Encrypted Data Transmission
Ensures all monitored network data is securely encrypted both in transit and at rest.
Zero Trust and Identity Management
Supports integration with Zero Trust frameworks and identity management solutions to enhance network security.
Integrated Network Security
Unifies network performance monitoring with security intelligence to identify and mitigate threats in real-time.
Network Performance - Network Monitoring (2)
Dynamic Network Optimization
Continuously analyzes and adjusts network configurations to optimize performance and reliability.
Automated Tasks Routing
Automates routine network monitoring tasks, reducing operational overhead and human error.
AI Automation - Network Monitoring (3)
Machine Learning-Based Anomaly Detection
Uses machine learning to identify network anomalies, preventing security and performance issues before they escalate.
Self-Healing Networks
Automates corrective actions for common network issues, reducing downtime and manual intervention.
Predictive Network Maintenance
Leverages AI to anticipate hardware failures, capacity issues, and performance bottlenecks before they occur.
Agentic AI - Network Monitoring (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
