Riverbed Technology has announced a major update to its unified observability platform, unveiling next-generation AIOps capabilities that incorporate predictive, agentic, and generative AI. The enhancements aim to help IT teams address digital experience issues faster and more proactively, reducing downtime and improving productivity across modern hybrid enterprises.
The latest release builds on Riverbed’s existing AIOps engine by introducing AI-driven root cause analysis, intelligent summarization, and autonomous remediation features. These capabilities allow IT teams to anticipate performance problems before they affect users, streamline decision-making, and automatically execute fixes — significantly cutting mean-time-to-resolution (MTTR).
At the heart of the innovation is Riverbed’s new Generative AI Summarization, which synthesizes complex data into concise, actionable insights. Meanwhile, Agentic AI Automation empowers the platform to recommend or perform remedial actions based on system behavior. Predictive Intelligence capabilities have also been expanded to provide earlier alerts and deeper anomaly detection.
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“Riverbed’s next-gen AIOps moves customers beyond the noise of alerts, toward a platform that delivers true AI-assisted operations — with precision, clarity, and actionability,” said Dave Donatelli, CEO of Riverbed. “This is the future of digital experience management.”
As enterprises struggle to maintain user experience and system reliability across sprawling IT environments, Riverbed’s AI-powered platform offers a timely solution. The company’s unified approach, combining observability with advanced automation, positions it as a key player in the fast-evolving AIOps market.
With these upgrades, Riverbed aims to empower organizations to not only resolve incidents faster but also to prevent them altogether — marking a significant shift from reactive to predictive IT operations.