Splunk Enterprise Features

Network Management (3)

Activity Monitoring: Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.
Asset Management: Keeps records of each network asset and its activity. Discovers new assets accessing the network.
Log Management: Provides security information and stores the data in a secure repository for reference.

Event Management: Alerts users of incidents and allows users to intervene manually or triggers an automated response.
Automated Response: Reduces time spent remedying issues manually. Resolves common network security incidents quickly.
Incident Reporting: Documents cases of abnormal activity and compromised systems.

Threat Intelligence: Stores information related to common threats and how to resolve them once incidents occur.
Vulnerability Assessment: Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised.
Advanced Analytics: Allows users to customize analytics with granulized metrics that are pertinent to your specific resources.
Data Examination: Allows users to search databases and incident logs to gain insights on vulnerabilities and incidents.

Artificial Intelligence: Utilizes artificial intelligence to analyze big data.
Machine Learning: Utilizes machine learning to analyze big data.
Systems Monitoring: Monitors logs and activities from a wide range of IT systems.
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.

Root Cause Identification: Directly identifies, or increases identification speed for, root causes for IT system issues.
Proactive Identification: Proactively identifies trends on IT systems that could lead to failures or errors.
Resolution Guidance: Provides paths, suggestions, or other general assistance towards issue resolution.

System Integration: Integrates with a variety of IT systems.
Alerting: Automatically alerts necessary parties via email, text, or call when issues are identified.
Reporting: Generate sreports and dashboards highlighting trends and key metrics around issues and issue resolution.
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.

Dashboards and Visualizations: Presents information and analytics in a digestible, intuitive, and visually appealing way.
Alerts and Notifications: Clearly notifies users with relevant information and anomalies in a timely manner.
Reporting: Creates reports outlining performance and other relevant metrics.

Multi-Device Management: Allows users to track and control resource allocation across multiple devices.
Automation: Automatically allocates resources to optimize loads across devices.
Performance Baseline: Sets a standard performance baseline by which to compare live hardware metrics.
Real-Time Monitoring: Constantly monitors hardware to detect anomalies in real time.

Data Sources: Automatically collect logs from all your services, applications, and platforms
Indexing: Automate the indexing of machine data that's critical to your operations
Automated Tagging: See log data in context with automated tagging and correlation
Data Blending: Mix and match data from apps, hosts, containers, services, networks, and more

Track Trends: Allows user to track log trends.
Detect Anomalies: Identify and predict anomalies in real-time with outlier detection and uncover root-causes
Metric and Event Data: Analyze both metric and event data on the same platform regardless of source or structure
Search: Search your logs for troubleshooting and open-ended exploration of your data
Alerts: Create alerts based on search patterns, thresholds for specific log metrics, or other conditions
Live Tail: See your data, in real time, streaming into the system from multiple data sources

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

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

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