Ericsson Enterprise Wireless Solutions Features
Network (3)
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Overlay and Underlay
Take away need to manage separate overlay and underlay networks.
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Connectivity
Enable network connectivity to private and public data sources.
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Availability
Provide high availability and load balancing.
Application (6)
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Integration
Allow for seamless integration of apps.
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Performance
Improve application performance.
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Health
Monitor the health of your applications.
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Self-Heal
Self-heal application issues.
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Simplify
Simplify application deployment.
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Expenses
Reduce operating expenses.
Network Management (4)
Network Segmentation
Allows administrative control over network components, mapping, and segmentation.
Network Mapping
Allows visual display of networks segmented components and their connected resources.
Security Analytics
Utilizes behavioral analysis to improve security procedures and documentation.
API/Integrations
Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc. with other software applications.
Security (2)
Application Security
Protects application access and data. Prompts additional authentication for suspicious users.
Workload Protection
Protects computing resources across a network. Prompts additional authentication for suspicious users.
Identity Management (3)
Adaptive Access Control
Provides a risk-based approcach to determining trust within the network.
Identity Scoring
Calculates risk based on user behavior, permissions, and requests.
User Monitoring
Monitors users attempting unauthorized access to databases, applicaitons, and othe network components.
Platform (4)
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Dashboard
Has a centralized dashboard for users to interact with.
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Connection Status
Provides real-time status of connections across IoT architecture.
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SIM Management
Monitor and modify SIM cards in embedded devices.
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Account Alerts
Provides notifications about data plan subscriptions.
Reporting (3)
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Data Usage
Track the volume of data being used across IoT networks and devices.
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Available Bandwidth
Track the available bandwidth for individual device data or networks as a whole.
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Cost Analytics
Measure the ongoing and expected costs of active IoT systems.
Management (5)
Network Automation
Automate how physical and virtual devices are configured, handled, tested, deployed, and operated inside a network.
Network Traffic Analyzer
Record and analyze the traffic on network.
User Provisioning
Ensure that only certain users have access to a system.
Network Analytics
Analyze network data to identify trends and patterns.
Resource Maintenance
Infrom user of upgrades and repairs to network resources.
Monitoring (3)
Network Monitoring
Monitor the performance of network resources, such as switches, routers, and servers.
Network Discovery
Automatically discover network assets.
Network Asset Mapping
Build map of network resources based on dependencies and connections.
Support (3)
Real-time alerting
Notify user when network related error arise.
Hybrid Infrastructure Support
Supports cloud and LAN, including hybrid infrastructure
API Integration
Provide API and custom sensors for easy integration.
Generative AI (2)
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
Components - Secure Access Service Edge (SASE) (3)
Zero Trust Network Access (ZTNA)
Enforces zero trust access rules.
Wide Area Network (WAN)
Integrates wide area network (WAN) capabilities, such as SD-WAN.
Firewall as a Service
Provides cloud-based firewall protection.
Artificial Intelligence - Secure Access Service Edge (SASE) (1)
Automation
Automates common workflows and remediation tasks.
Agentic AI - Secure Access Service Edge (SASE) Platforms (3)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Network Management Tools (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




