Riverbed AI Assurance is the control plane for enterprise AI. It makes AI adoption visible, connects usage to cost and outcomes, and provides operational insight into AI‑driven applications and agents. By treating AI as a production workload, AI Assurance helps organizations detect issues early, optimize spend, reduce operational and compliance risk, and scale AI responsibly as adoption accelerates across teams and tools.
AI Assurance shows how AI is actually used across departments and teams. It reveals adoption trends, highlights Shadow AI, and exposes gaps between enablement and real usage so leaders can drive adoption with data, not assumptions.
AI Assurance connects AI usage and performance directly to cost. Identify underutilized seats and tokens, eliminate stranded spend, and align AI investment with business outcomes as usage scales.
AI Assurance provides end‑to‑end observability into AI‑driven applications and autonomous agents. Teams can see anomaly blast radius, root cause, and time to resolution together to restore service faster and with confidence.
Agentic intelligence that analyzes signals across the IT ecosystem to prevent issues, recommend action, and automate response at scale.
Deep application performance visibility that traces transactions, dependencies, and services so teams can quickly pinpoint the root cause of degradation in complex environments.
Visibility into how work actually happens across apps, devices, and locations to understand performance, productivity, and AI impact on users.
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A practical aguide to operating AI as a production capability.
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