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Riverbed Aternity Self-Service Released

Riverbed announced the company’s first Agentic AI-powered solution, Riverbed Aternity Self-Service, empowering employees to initiate self-service requests that triage, diagnose, and resolve issues autonomously. 

Aternity Self-Service optimizes IT support and dramatically reduces service desk costs, boosting employee and IT productivity by delivering automated remediation, fewer tickets, faster resolutions, and a zero-touch digital support experience.

Riverbed Aternity Self-Service applies Agentic AI to handle end-to-end issue resolution. Once a problem is detected, the AI agent executes triage, runs endpoint and network diagnostics, applies fixes, and validates resolution with human oversight controls as needed. If the issue persists, it automatically generates a fully contextualized ticket for higher-level support, bypassing Level 1 triage entirely. For example, if an employee experiences a crash with a unified communications (UC) application such as MS Teams or Zoom, the Aternity Self-Service agent runs diagnostics, identifies the service issue, restarts affected processes, and confirms the UC tool is back online. Employees return to work in minutes rather than hours, and IT avoids time-consuming manual triage and escalations.

Key benefits of Aternity Self-Service include:

  • Autonomous Issue Resolution: Automatically resolves common IT issues, reducing ticket volume and lowering mean time to resolution (MTTR).
  • Open Skills Architecture: Leverages modular AI skills with endpoint telemetry and network analytics for deeper insights and precise fixes.
  • Smarter Ticket Escalation: Creates actionable, context-rich tickets for unresolved issues, saving time, and minimizing repeated escalations.
  • Seamless Ecosystem Integration: Deploys quickly into Microsoft Teams and other enterprise systems, enabling employees to resolve issues where they work.

“Aternity Self-Service delivers on the promise of Agentic AI by taking the employee frustration out of support and turning it into an IT productivity booster,” said Richard Tworek, Chief Technology Officer at Riverbed. “By leveraging Riverbed’s first new Agentic AI solution, employees can resolve common IT issues without waiting for the traditional ticket handling process to complete. The self-service agent runs diagnostics, applies fixes, records the analysis and the work done in a ticket for record-keeping and auditing, and gets the employee back to work in minutes rather than hours. This reduces ticket volume, speeds resolution, and frees IT teams to focus on higher-value projects that drive real business impact. With Riverbed, organizations can deliver a smarter, smoother, and truly seamless digital experience for every employee.”

Riverbed’s approach to Agentic AI ensures governed autonomy, multi-agent collaboration, and human oversight, delivering measurable impact while maintaining trust and control. Companies gain a scalable, future-ready IT environment where employees spend less time waiting for support, while the IT teams can focus on more strategic projects.

Riverbed Aternity Self-Service is in limited availability now.

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Riverbed Aternity Self-Service Released

Riverbed announced the company’s first Agentic AI-powered solution, Riverbed Aternity Self-Service, empowering employees to initiate self-service requests that triage, diagnose, and resolve issues autonomously. 

Aternity Self-Service optimizes IT support and dramatically reduces service desk costs, boosting employee and IT productivity by delivering automated remediation, fewer tickets, faster resolutions, and a zero-touch digital support experience.

Riverbed Aternity Self-Service applies Agentic AI to handle end-to-end issue resolution. Once a problem is detected, the AI agent executes triage, runs endpoint and network diagnostics, applies fixes, and validates resolution with human oversight controls as needed. If the issue persists, it automatically generates a fully contextualized ticket for higher-level support, bypassing Level 1 triage entirely. For example, if an employee experiences a crash with a unified communications (UC) application such as MS Teams or Zoom, the Aternity Self-Service agent runs diagnostics, identifies the service issue, restarts affected processes, and confirms the UC tool is back online. Employees return to work in minutes rather than hours, and IT avoids time-consuming manual triage and escalations.

Key benefits of Aternity Self-Service include:

  • Autonomous Issue Resolution: Automatically resolves common IT issues, reducing ticket volume and lowering mean time to resolution (MTTR).
  • Open Skills Architecture: Leverages modular AI skills with endpoint telemetry and network analytics for deeper insights and precise fixes.
  • Smarter Ticket Escalation: Creates actionable, context-rich tickets for unresolved issues, saving time, and minimizing repeated escalations.
  • Seamless Ecosystem Integration: Deploys quickly into Microsoft Teams and other enterprise systems, enabling employees to resolve issues where they work.

“Aternity Self-Service delivers on the promise of Agentic AI by taking the employee frustration out of support and turning it into an IT productivity booster,” said Richard Tworek, Chief Technology Officer at Riverbed. “By leveraging Riverbed’s first new Agentic AI solution, employees can resolve common IT issues without waiting for the traditional ticket handling process to complete. The self-service agent runs diagnostics, applies fixes, records the analysis and the work done in a ticket for record-keeping and auditing, and gets the employee back to work in minutes rather than hours. This reduces ticket volume, speeds resolution, and frees IT teams to focus on higher-value projects that drive real business impact. With Riverbed, organizations can deliver a smarter, smoother, and truly seamless digital experience for every employee.”

Riverbed’s approach to Agentic AI ensures governed autonomy, multi-agent collaboration, and human oversight, delivering measurable impact while maintaining trust and control. Companies gain a scalable, future-ready IT environment where employees spend less time waiting for support, while the IT teams can focus on more strategic projects.

Riverbed Aternity Self-Service is in limited availability now.

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Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...