Riverbed brings Powerful Agentic AI and 360-degree visibility to Network Operations. Riverbed | Published 17 Sept 2026 New Network 360 Offerings Combine Deep Network Evidence, AI and Extended Network Visibility, Helping NetOps Teams Eliminate Disruption Riverbed, the leader in AIOps for observability, today announced new Riverbed intelligent network observability solutions that combine 360-degree network visibility with agentic AI to help network operations teams accelerate troubleshooting, identify root causes, predict emerging issues and increasingly prevent disruptions before they impact users. The new Riverbed Network 360 offerings natively integrate the powerful agentic AI capabilities of Riverbed IQ and Q into Riverbed's AppResponse and NetProfiler solutions while extending network visibility across remote users, Zero Trust and public cloud environments with NPM+. Together, these new offerings unify deep network evidence, expanded visibility across the enterprise, and causal, predictive, generative and agentic AI, to help NetOps teams prevent disruption. "For decades, network monitoring tools have surfaced the evidence, but network professionals have still had to manually connect the dots," said Richard Tworek, Chief Technology Officer, at Riverbed. "That model can no longer keep pace as applications span data centers, public clouds and SaaS environments, employees work from anywhere, and Zero Trust architectures add new visibility gaps across networks IT may not own or control. With Network 360, Riverbed is bringing agentic AI directly into network operations by turning deep network evidence from hybrid environments into contextual insight, faster root-cause identification, predictive awareness of emerging issues and recommended next actions. This is how we help NetOps teams move from tedious, reactive investigations that once took hours or days to guided, AI-driven workflows that accelerate resolution today and lay the foundation for increasingly autonomous action before disruptions impact users or the business." Powerful Agentic AI for Network Operations Riverbed NPM 360 addresses these challenges. Riverbed IQ is the intelligence layer behind NPM 360, applying causal, predictive, generative and agentic AI across connected operational data. It helps network teams correlate evidence, identify likely causes, anticipate emerging issues, and determine appropriate actions. Riverbed Q provides a conversational, natural language interface to the Riverbed intelligence layer, allowing network professionals to accelerate investigations without navigating multiple dashboards, queries, and tools. Together, IQ and Q analyse and correlate network evidence, recommend next steps and allow practitioners to drill into underlying flows, packets and other connected evidence when needed. Natively Bringing AI to AppResponse and NetProfiler Riverbed AppResponse and Riverbed NetProfiler provide two foundational sources of network intelligence. AppResponse delivers full-fidelity packet capture and analysis, while NetProfiler provides enterprise-scale flow monitoring and analytics across complex network environments. With the new NPM 360 offering, Riverbed IQ and Riverbed Q become native capabilities within the AppResponse and NetProfiler intelligent network observability experience. This brings causal, predictive, generative and agentic AI directly into the products network teams already rely on to monitor, troubleshoot and optimise performance. Riverbed NPM+ extends visibility across remote users, Zero Trust architectures, data centers and cloud environments, significantly expanding the breadth and depth of network evidence available to NetOps teams. By unifying packet, flow and endpoint-derived network intelligence with AI-powered analysis and guidance, Riverbed NPM 360 helps IT teams rapidly isolate the source of performance issues, understand business and user impact, predict emerging risks, and accelerate resolution. Riverbed NPM 360 includes: * Riverbed IQ: SaaS-based AI-driven intelligence and automation layer that pinpoints issues and speeds resolution - no additional infrastructure needed. * Riverbed Q: A generative AI chat or conversational assistant that helps IT teams quickly investigate performance issues, uncover insights and take informed action using natural-language queries. * NPM+: Endpoint-based network observability that extends visibility across remote users, Zero Trust, public cloud, and networks the enterprise does not own or control. * Professional Services: Helps customers design, deploy and operationalise their Network 360 environment, together with AppResponse or NetProfiler, to deliver the right network and data coverage, workflows and operational outcomes from day one. "Riverbed is in the upper echelon of companies redefining network operations through the application of AI," said Whit Walters, Field CTO & AI Category Lead, GigaOm. "What makes Riverbed's approach particularly compelling is that this intelligence isn't isolated to network operations. The same Riverbed IQ intelligence layer extends across Riverbed Aternity and the digital employee experience. Combining network and employee experience intelligence through a common AI foundation creates a powerful opportunity for enterprises to transform IT operations." Riverbed was recently recognised as a Leader and Fast Mover in the 2026 GigaOm Radar Report for Network Observability, underscoring the company's continued innovation and market leadership in intelligent observability solutions. The recognition highlights Riverbed's ability to deliver full-fidelity visibility, unified data, and AI-driven intelligence through its Network Observability suite, enabling organisations to gain deeper insights across increasingly complex enterprise networks and accelerate operational efficiency. Availability and Additional Resources NPM 360 is available immediately and is initially offered at no premium to current AppResponse and NetProfiler pricing, giving customers expanded AI and network visibility capabilities without increasing the price of the underlying offering. To learn more about NPM 360 and Riverbed Intelligent Network Observability, visit Riverbed Intelligent Network Observability.

Riverbed and Oracle showcase faster AI data movement at LEAP 2026. The conversations at LEAP 2026 in Riyadh made one thing abundantly clear: organisations are no longer asking whether AI will transform their business. They're asking how quickly they can turn AI ambition into operational reality.That was the focus of its joint presence with Oracle at LEAP, where Riverbed showcased Riverbed Data Express to customers and prospects from across Saudi Arabia and the wider Middle East. Together, Riverbed Technology, Inc. demonstrated how organisations can overcome one of the biggest barriers to successful AI initiatives: data movement to support vast amounts of data securely, quickly, and efficiently to where it is needed most. AI and cloud ambitions are growing faster than data infrastructure. Across discussions with enterprise leaders, government organisations, and technology teams, a common challenge emerged. Many organisations at LEAP 2026 shared ambitious AI roadmaps. They have access to cloud infrastructure and increasingly sophisticated AI tools. However, a common challenge remains: getting the right data to the right place at the right time. As AI workloads expand, organisations must move and prepare massive datasets across clouds, data centres, edge locations, and AI infrastructure. For many, data movement has become the primary bottleneck to AI adoption. Another recurring theme was the rise of multicloud strategies. Rather than standardising on a single cloud provider, organisations are selecting services across multiple clouds based on performance, cost, data sovereignty requirements, and AI capabilities. As a result, data is increasingly distributed across cloud environments, data centres, and edge locations, making fast and efficient data mobility a critical operational requirement. At scale, moving large datasets remains a significant hurdle. Transferring terabytes or petabytes of data using traditional approaches can take weeks or even months, delaying AI initiatives, cloud migrations, analytics projects, and other business-critical workloads. Organisations also highlighted the growing complexity of distributed operations. As businesses expand into new regions, remote locations increasingly rely on on-demand satellite connectivity to support operations. While satellite networks extend access to previously underserved locations, they also create new challenges for moving large volumes of data across constrained and often expensive network links. Underlying all of these discussions was a common business objective: reducing connectivity costs while supporting growth. Many organisations are looking for ways to maximise the value of existing network investments and avoid purchasing additional bandwidth simply to accommodate cloud adoption, AI workloads, or distributed operations. The conclusion was clear: whether supporting AI, enabling multicloud strategies, connecting remote sites, or accelerating cloud migration, organisations need faster, more efficient ways to move data wherever it is needed. The need for speed in data movement has become a strategic business requirement. This challenge is particularly relevant in Saudi Arabia, where investment in artificial intelligence, cloud services, and digital transformation continues to accelerate as part of the Kingdom's broader technology vision. The scale and focus of LEAP itself reflected this momentum, bringing together hundreds of thousands of attendees, technology leaders, investors, and innovators to explore the future of AI and digital infrastructure. Riverbed and Oracle: helping customers move at the speed of AI. At LEAP, Riverbed and Oracle demonstrated how Riverbed Data Express addresses this challenge. Built on Oracle Cloud Infrastructure (OCI), Data Express is designed to accelerate the movement of massive datasets across cloud environments and geographic regions. It enables organisations to move data up to 10x faster than traditional approaches while simplifying deployment and reducing operational complexity. Visitors were particularly interested in several key capabilities: * High-speed movement of petabyte-scale datasets * Rapid cloud migration and consolidation projects * Simplified SaaS-based deployment * Improved visibility, governance, and control over data transfers * Reduced costs associated with extended migration timelines and cloud egress Many attendees recognised that as AI initiatives scale, data movement is becoming a strategic capability rather than simply an infrastructure task. Data Express helps organisations accelerate cloud adoption and AI initiatives by enabling the fast, secure movement of large datasets across cloud environments. By eliminating data transfer bottlenecks, organisations can reduce project risk, control costs, and quickly realise value from their cloud and AI investments. Strong interest from Saudi organisations. One of the most encouraging outcomes from LEAP was the quality of customer discussions. Organisations across both the public and private sectors shared a common objective: accelerate digital transformation while maintaining security, governance, and operational efficiency.Whether supporting AI initiatives, cloud modernisation, business expansion, or data resilience programmes, many teams face the same challenge. The ability to move large volumes of data quickly and securely is increasingly critical to business outcomes. The strong interest Riverbed Technology, Inc. saw at LEAP reinforces its belief that the market is ready for a new approach to enterprise data movement, particularly as AI projects require larger datasets, more cloud flexibility, and faster execution. The power of partnership with Oracle. LEAP also highlighted the value of collaboration between Riverbed and Oracle. By combining Oracle's cloud platform and AI ecosystem with Riverbed's expertise in data movement and acceleration, Riverbed Technology, Inc. is helping customers reduce complexity and accelerate time to value from their AI investments. LEAP provided an excellent opportunity not only to demonstrate technology but also to engage directly with customers about their transformation goals and the practical challenges they face in achieving them. Riverbed Technology, Inc. would like to thank Oracle for partnering with Riverbed Technology, Inc. at LEAP and the many customers, partners, and technology leaders who visited the stand throughout the event. Looking ahead. The conversations at LEAP confirmed a clear market reality: the need for speed is no longer limited to applications, networks, or AI models. It now extends directly to data movement. Whether organisations are migrating to the cloud, adopting multicloud architectures, supporting remote operations through satellite connectivity, or scaling AI initiatives, success increasingly depends on how quickly and efficiently data can move between locations, clouds, and users. Across nearly every customer discussion, the underlying challenge was the same. Data is growing faster than the infrastructure and processes used to move it. The organisations that can eliminate these bottlenecks will be better positioned to accelerate AI adoption, reduce operational costs, and respond more quickly to new business opportunities. For Riverbed and Oracle, this reinforces a simple but important principle: AI success starts with data mobility. As organisations across Saudi Arabia and the broader Middle East continue to invest in digital transformation, cloud modernisation, and AI, Riverbed Technology, Inc. remain focused on helping customers move data at the speed their business demands. Shaif Asif is the Regional Sales Director for Riverbed's industry-leading Acceleration portfolio across the EMEA and APJ regions since January 2024. Prior to this he has held several other sales roles at Riverbed, since joining the company in June 2022. Leading a highly-experienced sales team in EMEA and APJ, Shaik has overall responsibility for sales and the execution of Riverbed's go-to-market model for Riverbed's Acceleration solutions which provide fast, agile, secure acceleration of any app, over any network, to users anywhere. Shaik's role involves new business development as well as driving closer engagement with enterprise customers and strategic partners, ensuring its customers receive excellent value and superior business performance from their IT investment. Shaik has over 20+ years' experience in the IT industry. Prior to joining Riverbed, he held many sales management roles at IBM in the Storage division. Shaik's personal interests include keeping fit through the gym and cricket and is well known for always having a positive 'can do' attitude. As for topics of interest, Shaik is passionate talking about anything to do with the 'Acceleration' portfolio.