Unlock Faster Insights, Smarter Operations, and Proactive Problem Resolution

Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (acquiring information and rules for using it), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning (ML), deep learning, and natural language processing.

Machine Learning (ML) is a subset of AI focused on the development of algorithms enabling computers to learn from data and make predictions or decisions based on them. Instead of relying on explicitly programmed rules, ML algorithms allow computers to learn patterns and relationships directly from data, improving performance over time without being explicitly programmed for each task.

• Faster Detection: Accelerates issue identification and resolution in SaaS applications
• Alert Prioritization: Delivers actionable, intelligent alerts, significantly minimizing alert fatigue
• Unified Visibility: Provides a holistic view across cloud, hybrid, and on-premises environments
• Task Automation: Automates repetitive manual tasks, freeing time for innovation and suggesting or launching fixes based on historical resolution data
• Predictive Analytics: Supports smarter decision-making with real-time analytics and insights
• Root Cause Insight: Correlates data streams for instant, targeted root cause analysis 

• Anomaly Detection: Uses ML to identify abnormal events in logs, metrics, and traces, reducing false alerts and automatically surfacing real issues
• Intelligent Alerting: Reduces alert fatigue through AI for IT operations-driven analysis by prioritizing actionable incidents and suppressing irrelevant noise based on patterns and historical trends
• Root Cause Analysis: Analyzes relationships using AI across applications, infrastructure, and network data to pinpoint root causes for rapid issue resolution
• Dynamic Thresholding: Uses ML to adjust alert thresholds based on historical and contextual data
• Predictive Capacity Planning: Applies AI regression models to forecast resource limits, enabling proactive scaling and service continuity before issues arise 

SolarWinds^® has been using and developing AI and ML within its products for over six years. To sustainably advance our AI and ML capabilities, we follow our Secure by Design principles, which guide our security and cyber resilience approach. Now, we’re extending this model to establish best practices around AI.