IBM SevOne Features

Functionality (11)

Performance Monitoring: Continuously monitors network performance across the entire span of a network. This feature was mentioned in 48 IBM SevOne reviews.
Alerting: As reported in 47 IBM SevOne reviews. Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures.
Multi-Network Capability: As reported in 47 IBM SevOne reviews. Provides monitoring capabilities for multiple networks at once.
Multi-Network Capability: Provides monitoring capabilities for multiple networks at once.
Anomaly Detection: Constantly monitors activity related to user behavior and compares activity to benchmarked patterns.
Network Visibility: Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.
Scalability: Provides features to allow scaling for large organizations.
Diverse Systems Monitoring: Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks.
Real-Time Analytics: Generate real-time high-level and/or in-depth analytics regarding monitored systems activity.
Observability: Generate insights into IT systems utilizing event metrics, logging, traces, and metadata.
AI/ML Integration: Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors.

Management (12)

Performance Baseline: As reported in 47 IBM SevOne reviews. Sets a standard performance baseline by which to compare live network activity.
Data Visualization: As reported in 47 IBM SevOne reviews. 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. This feature was mentioned in 47 IBM SevOne reviews.
Single Pane of Glass: Consolidate IT systems monitoring overviews to a single pane for quick insights.
Dashboards and Visualization: Offer pre-built and custom reporting and dashboards for quick insights into system states.
Performance Baselines: Set expected baselines for system functions.
Alerting: Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors.
Network Automation: Based on 10 IBM SevOne reviews. 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. 10 reviewers of IBM SevOne have provided feedback on this feature.
User Provisioning: Ensure that only certain users have access to a system. 10 reviewers of IBM SevOne have provided feedback on this feature.
Network Analytics: Analyze network data to identify trends and patterns. 10 reviewers of IBM SevOne have provided feedback on this feature.
Resource Maintenance: Infrom user of upgrades and repairs to network resources.

Monitoring (8)

Usage Monitoring: Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.
Database Monitoring: Monitors performance and statistics related to memory, caches and connections.
API Monitoring: Detects anomalies in functionality, user accessibility, traffic flows, and tampering.
Real-Time Monitoring - Cloud Infrastructure Monitoring: Constantly monitors system to detect anomalies in real time.
Security and Compliance Monitoring: Enables monitoring of security and compliance standards across cloud infrastructure.
Network Monitoring: Monitor the performance of network resources, such as switches, routers, and servers. 10 reviewers of IBM SevOne have provided feedback on this feature.
Network Discovery: Automatically discover network assets.
Network Asset Mapping: Based on 10 IBM SevOne reviews. Build map of network resources based on dependencies and connections.

Administration (4)

Activity Monitoring: Actively monitor status of work stations either on-premise or remote.
Multi-Cloud Management: Allows users to track and control cloud spend across cloud services and providers.
Automation: Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.
Auto-Scaling & Resource Optimization: Automatically scales resources based on demand and optimizes for performance and cost.

Analysis (3)

Automation (4)

Metadata Management: Indexes metadata descriptions for easier searching and enhanced insights
Artificial Intelligence & Machine Learning: Facilitates Artificial Intelligence (AI) or Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.
Response Automation: Reduces time spent remedying issues manually. Resolves common network security incidents quickly.
Continuous Analysis: Constantly monitors traffic and activity. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Incident Management (3)

Support (3)

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. This feature was mentioned in 44 IBM SevOne reviews.
Automated Network Discovery: Based on 44 IBM SevOne reviews. 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. This feature was mentioned in 44 IBM SevOne reviews.

Analytics - Network Monitoring (2)

Security - Network Monitoring (3)

Encrypted Data Transmission: Ensures all monitored network data is securely encrypted both in transit and at rest. 43 reviewers of IBM SevOne have provided feedback on this feature.
Zero Trust and Identity Management: Supports integration with Zero Trust frameworks and identity management solutions to enhance network security. 43 reviewers of IBM SevOne have provided feedback on this feature.
Integrated Network Security: Based on 43 IBM SevOne reviews. Unifies network performance monitoring with security intelligence to identify and mitigate threats in real-time.

Network Performance - Network Monitoring (2)

AI Automation - Network Monitoring (3)

Machine Learning-Based Anomaly Detection: Based on 43 IBM SevOne reviews. Uses machine learning to identify network anomalies, preventing security and performance issues before they escalate.
Self-Healing Networks: As reported in 42 IBM SevOne reviews. 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. This feature was mentioned in 42 IBM SevOne reviews.

Agentic AI - Network Monitoring (7)

Autonomous Task Execution: Based on 36 IBM SevOne reviews. Capability to perform complex tasks without constant human input
Multi-step Planning: Ability to break down and plan multi-step processes 36 reviewers of IBM SevOne have provided feedback on this feature.
Cross-system Integration: As reported in 36 IBM SevOne reviews. Works across multiple software systems or databases
Adaptive Learning: Based on 36 IBM SevOne reviews. Improves performance based on feedback and experience
Natural Language Interaction: Based on 36 IBM SevOne reviews. Engages in human-like conversation for task delegation
Proactive Assistance: Anticipates needs and offers suggestions without prompting 37 reviewers of IBM SevOne have provided feedback on this feature.
Decision Making: As reported in 37 IBM SevOne reviews. 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

Agentic AI - Cloud Infrastructure Monitoring (6)

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

Agentic AI - Enterprise 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