PathSolutions today announced the launch of TotalView AI, a new capability within its TotalView platform that brings intelligent, AI-driven troubleshooting to NetOps teams—powered by complete, high-fidelity network data analyzed directly on-premises.
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TotalView AI Screenshot
As enterprise networks become more distributed and complex, NetOps teams face increasing pressure to resolve issues quickly—often without the benefit of deep domain expertise. At the same time, many AI-driven monitoring solutions rely on sending limited datasets to the cloud, introducing latency, increasing cost, and restricting visibility.
TotalView AI takes a fundamentally different approach.
By operating entirely on-premises, TotalView AI analyzes a broader and richer set of network data—without the constraints of cloud ingestion limits or transport delays. This enables faster, more accurate insights while ensuring data never leaves the customer’s environment.
“AI is only as effective as the data behind it,” said Tim Titus, CTO at PathSolutions. “With TotalView AI, we’re not sampling or filtering data to fit cloud pipelines. We’re analyzing the complete dataset locally, which allows us to deliver precise, real-time root-cause analysis.”
The On-Prem Advantage: More Data, Faster Answers, Greater Security
TotalView AI is built on a core principle: better data leads to better outcomes. By keeping data collection and analysis on-premises, organizations gain several critical advantages:
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Complete Data Visibility
Analyze full-resolution telemetry without downsampling, filtering, or cloud-imposed limits. -
Real-Time Analysis with Low Latency
Eliminate delays associated with shipping data to the cloud, enabling immediate detection and response. -
No Data Movement Constraints
Avoid bandwidth costs and architectural trade-offs required to export large volumes of network data. -
Air-Gapped Deployment Support
Operate fully in high-security and regulated environments where external connectivity is restricted or prohibited. -
Data Sovereignty and Control
Keep sensitive network and operational data within organizational boundaries.
Key Capabilities of TotalView AI
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AI-Powered Root-Cause Analysis
Automatically correlates events across the network to identify the true source of performance issues. -
Correlation Across Complete Datasets
Leverages comprehensive telemetry—including SNMP, flow data, and device-level metrics—for deeper insight. -
Faster Mean Time to Resolution (MTTR)
Reduces troubleshooting time from hours to minutes by guiding engineers directly to the problem. -
Empowering Modern NetOps Teams
Enables less-experienced engineers to diagnose complex issues with confidence.
Solving the Real Problem: Data Completeness and Correlation
While many vendors are introducing AI features, most rely on partial or sampled data, limiting their effectiveness. TotalView AI is designed to work with a complete, high-fidelity view of the network, ensuring more accurate conclusions and fewer false positives.
“The challenge in network operations isn’t just too much data—it’s incomplete data and lack of correlation,” added Tim Titus. “TotalView AI addresses both by analyzing everything, in real time, right where the data lives.”
Availability
TotalView AI is available starting August 2026 as part of the TotalView platform. For more information or to request a demo, visit www.pathsolutions.com.
About PathSolutions
PathSolutions provides advanced network observability solutions that enable organizations to quickly detect, diagnose, and resolve network performance issues. The TotalView platform delivers deep visibility, intelligent correlation, and actionable insights across complex enterprise environments, helping NetOps teams ensure optimal performance and reliability.
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