Riverbed Integrated Agentic AI Into Network Tools
The company has added generative and predictive capabilities to its monitoring suite to automate complex hybrid infrastructure analysis.
Updated on Sept. 23, 2026 in Artificial Intelligence
Live Poll
Do you trust AI-driven automation to improve your daily professional workflow?
Riverbed has announced its new Network 360 suite, which integrates Riverbed IQ and Riverbed Q into its existing AppResponse and NetProfiler products. These additions apply artificial intelligence to operational data to support network visibility and management across hybrid environments.
Why it matters
Network monitoring tools currently rely on manual analysis that struggles to keep pace with modern hybrid infrastructures. These new features aim to accelerate investigations and reduce the burden on network professionals by introducing automated causal and predictive analysis.
Riverbed IQ uses causal and predictive AI to process operational network data, while Riverbed Q provides a natural language interface for investigations. These capabilities extend the company's existing visibility platforms to cover remote users and cloud environments through NPM+.
The players
Riverbed
A networking technology company specializing in observability, performance optimization, and visibility solutions for hybrid cloud environments.
The details
The integration leverages Riverbed IQ to correlate network evidence, identifying root causes and anticipating issues before they impact performance. Riverbed Q functions as a conversational interface, allowing professionals to query complex data sets using natural language rather than manual filtering. By deploying these tools within AppResponse and NetProfiler, the platform aims to synthesize disparate operational signals into actionable insights for complex, hybrid network architectures.
Timeline
Riverbed announced the Network 360 suite on September 23, 2026.
The Tech Race
This release follows the broader industry trend of integrating agentic AI into observability tools to automate the operational management of complex network architectures. The development marks an incremental shift toward autonomous network management systems by moving from manual monitoring to AI-assisted diagnostics.
Network professionals can now utilize the new natural language interface within their existing AppResponse and NetProfiler workflows. The tools are designed to extend visibility into remote and cloud-based user environments, though the deployment timeline for existing customers depends on forthcoming update rollouts.
The takeaway
Riverbed is attempting to replace manual troubleshooting with predictive AI-driven analysis. Professionals should watch for future documentation regarding autonomous response triggers, as the company states this suite lays the foundation for future self-healing network capabilities.
Further reading
For broader context on how enterprise monitoring is evolving, explore the Artificial Intelligence section.
Live Poll
Do you trust AI-driven automation to improve your daily professional workflow?
