Leading the Energy Transition
With Intelligent Observability
Proactive Problem-Solving.
WanWare’s Knowledge Discovery Engine (KDE)
AI-Driven Pattern Recognition and Monitoring
AI algorithms analyze data to identify patterns, anomalies, and potential issues,enabling proactive monitoring ofcritical infrastructure, renewable energyassets, and grid operations.
Predictive Insights with Machine Learning
Machine learning models predict future behavior based on historical data, facilitatingproactive remediation and optimization of energy production, distribution, and consumption.
Automated Remediation with Customizable Rules
A customizable rules engine automates remediation workflows, reducing manual intervention and accelerating responses to cybersecurity threats, performance degradation, and grid disturbances
Visualizing Energy Networks with Graph Databases
A graph database maps asset relationships, providing a visual representation of the energy network and enabling a deeper understanding of dependencies and potential vulnerabilities across the energy ecosystem.
Real-Time Insights. Automated Remediation.
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Detect and respond to potential cyberattacks in real-time.
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Proactively identify weaknesses in systems and applications.
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Monitoring outbound connectivity from the ISP to a business' SaaS, cloud-based apps, and third-party platforms.
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Saving and sharing site performance or outage data with the responsible ISP , expediting ticket resolution and minimizing user impact.
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Helping meet availability targets and claiming credits for SLA breaches.
Ready to Unlock Your
Data’s Potential?
Ready to transform your data into actionable insights? Contact us now to schedule a demo or speak with our experts and see how WanAware’s KDE can empower your business
Intelligent Observability. Simplified
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