Intelligent Network Observability shifts NetOps from tool-driven investigation to AI-driven operations. Instead of manually navigating tools and piecing together evidence, practitioners can start with the problem while AI investigates across available data, freeing them to validate conclusions and make faster decisions.
Modern networks now extend across cloud, SaaS, remote users, Zero Trust, and infrastructure that enterprises do not fully control. Traditional monitoring remains essential, but it no longer sees the whole picture. The network changed. Network observability must change with it.
5 shifts redefining network operations in the age of AI
Extend your investment with broader visibility, AI, and automation. Purchase Riverbed AppResponse or NetProfiler and get Riverbed NPM+, Riverbed IQ, and professional services at no additional charge. Network 360 gives you real results with real impact.
Extend visibility across remote users, cloud, SaaS, encrypted VPN, and Zero Trust environments
Correlate evidence and anomalies to accelerate root-cause analysis
Ask what’s wrong, why, and what to do next
Get recommended fixes or automate resolution
360° Network Visibility and Agentic AI to Resolve Faster and Prevent Disruption
Zero Disruption means predicting and preventing more network issues before they affect users. As AI takes on more responsibility, NetOps can progressively automate remediation while maintaining control over when and how it occurs.
Intelligent Network Observability brings together complementary perspectives across the modern network so Riverbed AI can investigate with deeper evidence and broader context.
Full-fidelity packet capture and analysis for detailed network and application performance investigation.
Scalable flow analytics for understanding traffic behavior, application demand, utilization, and changing network conditions.
Extends network visibility to endpoints, remote users, SaaS, cloud, and Zero Trust environments where traditional observation points can lose visibility.
Provide health, topology, relationships, and infrastructure context across complex hybrid and multi-cloud environments.
The intelligence layer for the Riverbed Platform, combining full-stack data with agentic AI to predict and prevent issues through guided or autonomous remediation.