Riverbed Adds Agentic AI, Session Replay and AI Observability to Aternity Platform

Why It Matters

The enhancements give enterprises proactive visibility and automated remediation, reducing downtime and ticket volume while providing governance over shadow AI deployments. This positions Riverbed as a key enabler of autonomous IT operations in increasingly complex hybrid environments.

Key Takeaways

• Riverbed IQ 4.0 can execute authorized actions from natural‑language prompts
• AI Assurance monitors shadow AI, operational cost, and agentic behavior
• Replay 2.0 expands session replay to entire application fleets
• Data Express SaaS moves data across AWS, Azure, OCI to 10× faster
• Customers logged over 250 million AI‑driven automation steps in 2025

Pulse Analysis

The push toward autonomous IT reflects a broader industry shift from manual incident response to predictive, self‑healing systems. Riverbed’s Aternity platform consolidates application performance, network health, and device telemetry under a single agent, creating a unified data fabric that AI engines can analyze in real time. By embedding an agentic AI layer in Riverbed IQ 4.0, the company enables authorized, policy‑driven actions—such as rerouting traffic or provisioning resources—directly from natural‑language prompts, dramatically cutting the time between detection and remediation.

New modules deepen both observability and control. AI Assurance extends performance monitoring to the AI models themselves, surfacing shadow‑AI usage, cost drift, and unintended agentic behavior before they affect business outcomes. Replay 2.0’s fleet‑wide session capture lets IT teams replay exact user interactions across thousands of endpoints, eliminating the need for users to recreate elusive bugs. High‑Fidelity Analytics gathers telemetry every second, surfacing transient faults that traditional five‑minute intervals miss, while Data Express SaaS accelerates data transfers across AWS, Azure, and OCI up to tenfold, promising up to 30% cost savings for hybrid cloud workloads.

For enterprises, these capabilities translate into measurable ROI: fewer tickets, faster root‑cause analysis, and tighter governance over AI deployments. As hybrid workforces and multi‑cloud architectures become the norm, vendors that can deliver end‑to‑end, AI‑driven observability will gain a competitive edge. Riverbed’s aggressive rollout positions it to capture market share from legacy monitoring tools, while setting a benchmark for the next generation of autonomous IT operations.