AI applications are no longer tools used by a few teams for productivity or collaboration. They are rapidly becoming tools that help build core IT systems across every industry. From generative AI to NLP powered copilots to predictive analytics, enterprises are embedding AI into everyday operations, customer engagement and decision-making.
At the center of this transformation are the branch and campus networks. Offices, campuses, factories, retail stores, vehicles, and remote sites are where users and devices access AI applications, inference and workloads. They are the primary access points for AI services where employees interact with AI tools, where data is generated, and where inference increasingly occurs.
This makes the network and not the model, the real enabler of AI adoption. Without the right connectivity, AI access becomes unreliable, insecure, slow, and operationally complex. As AI usage increases across users, devices, and applications, SD-WAN is no longer optional. It has become essential for AI adoption.
First and foremost, AI applications are highly sensitive to network latency and delays. In reality, many organizations still rely on legacy WAN architecture that fail to deliver the reliability required for consistent AI access. The datacenter backhauled architecture and lack of network and application SLA based traffic intelligence can limit the performance demands for AI.
Second, AI workloads generate significantly higher bidirectional data volumes than business-critical or SaaS applications. Model queries, inference requests, data synchronization, and AI data pipelines place new demands on bandwidth and throughput.
Finally, AI access introduces new attack surfaces and sensitive data flows, increasing breach risk. Lack of identifying these AI application flows accurately, continuously inspecting them and enforcing zero trust cannot be delivered by legacy solutions that fail to offer best of breed firewalls and security services on-prem and in the cloud or datacenters.
The right solution must deliver resilient, self-healing connectivity that ensures continuous AI access, combined with high-bandwidth, low-latency connectivity. It must provide application-aware performance monitoring based on SLA metrics and enable dynamic traffic steering across distributed networks, clouds, and data centers. This reliable connectivity and access must be secured by integrated security within the network fabric. Operations should be simplified with complete visibility and centralized management across users, devices, applications including AI apps.
Consistent Connectivity and Improved Uptime
Versa Secure SD-WAN delivers optimized connectivity between branches, data centers, and cloud AI services by dynamically steering AI application traffic across WAN links. It provides application-level performance intelligence that ensures AI workloads meet strict SLA requirements while maintaining consistent user experience. Built to operate across datacenter, branches and cloud architectures, Versa Secure SD-WAN creates a software-defined network fabric that enables reliable AI access, scalable deployment models, and seamless integration of AI services wherever they are deployed.
Better Security for AI Applications
Versa delivers integrated, AI-ready security directly into the network fabric through a unified architecture. This combines next-generation firewall (NGFW) capabilities, GenAI security, integrated SSE, and Zero Trust enforcement. This security model protects AI applications, AI data, AI inference, AI prompts and workloads ensuring that AI access consistently secured through traffic inspection and cloud-delivered protection. Businesses are empowered to create a secure and trusted architecture for enterprise AI adoption.
Bringing AI Closer to the User with the Versa AI Edge
Versa enables AI to operate closer to where value is created by supporting local AI inference at the branch edge and enabling AI offloading closer to users and data sources. This distributed AI model significantly reduces latency and improves performance by minimizing reliance on distant cloud or data center resources, while delivering edge-based intelligence and analytics directly at branch and edge locations. The result is faster AI responsiveness, better user experiences, and a more efficient, scalable AI architecture where intelligence, performance, and insight are embedded directly into the edge of the network.
Versa Secure SD-WAN provides the foundation for secure, reliable, scalable AI access across branches, clouds, data centers, and edge environments. Learn more about how Versa can help deliver a seamless AI access and connectivity here.
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