What is AI-native routing?

AI-native routing puts AI at the center of provisioning, assuring, managing, and optimizing networks and network services. It is intent-driven, uses AI/ML algorithms to uncover complex routing problems that are difficult or impossible for humans to detect, and proposes or automates recommended actions to maintain user intent.

The result is a more efficient and optimized WAN, reduced OpEx, improved network performance and resilience, and an enhanced overall user experience.

A strong AI-native routing solution scales as your traffic increases, automates routine tasks, and improves onboarding times with intuitive AIOps. It allows service providers and enterprises to simplify their network operations, improve performance, and more easily attain sustainability goals.

What are the capabilities for an AI-native routing solution?

AI-native routing solutions simplify WAN life cycle management across core, edge, metro, and access networks. An AI-native approach to networking simplifies management for operators and ensures high-speed, dependable connectivity throughout the enterprise.

Key capabilities of an AI-native routing solution:

Intent-based networking
Allows IT to design networks, services, and connectivity based on user intent; deploy in a consistent, assured, and automated way; and have the network continually monitor and optimize itself to deliver on that intent

Automated device life cycle management
Reduces the time required for device onboarding and other use cases from hours to minutes and reduces the requirement for on-site visits through a centralized approach to device, network, and service onboarding; configuration management; and version management

Ubiquitous active testing
Measures experience directly on the data plane, validating that network applications are performing as they should and accelerating incident resolution

AI-native routing observability
Proactive detection of tough routing problems that have usually been difficult to detect while seriously impacting businesses

End-to-end control
Supports higher traffic loads on the same routing infrastructure with a controller-based approach to traffic engineering. This also enables latency- and congestion-aware automation to maintain stated user intent in the context of changing conditions around the network

VNA for AI-assisted troubleshooting
A virtual network assistant provides proactive and prescriptive networking actions and simplifies knowledgebase queries. These proactive actions save time and money and increase network uptime by accelerating problem resolution. By anticipating issues before they happen, an AI-native routing solution can fix issues before they impact end users

Routing platform versatility
AI-native routing addresses a wide range of use cases, including private WAN backbone, peering, cloud connect, data center edge, and data center interconnect

The benefits of AI-native routing

AI-native routing is essentially an AI-driven and intent-based approach to WAN routing that leverages network controllers for closed-loop automation. It includes an AI engine supported by comprehensive real-time insights and built-on a cloud-native architecture. Dynamic APIs help simplify network configuration and automate issue resolution.

Key benefits include accelerated remote troubleshooting supported by GenAI virtual network assistants, deployment templates for rapid implementation, and microservices that enhance the user experience while minimizing network downtime.

Automated network device life cycle management reduces device onboarding from hours to minutes.

Embedded active assurance uses built-in data test agents across thousands of routers to measure service quality, enabling consistent service delivery. It verifies service connections and configurations against predefined models, maintaining performance.

Real-time dashboards monitor network performance, security, and compliance, with instant assessments of trust levels and vulnerabilities.

With energy efficient automation, device power consumption can be optimized by adjusting device configurations based on component utilization, leveraging highly granular power observability.

Why AI-native routing?

With organizations adopting AI in their business operations and building their own AI environments, networks are becoming more strategic, requiring a renewed focus on high performance WANs.

Juniper’s AI-native routing portfolio helps enterprises and service and cloud providers easily and efficiently transitioning to modern WANs build on 400G/800G. Juniper’s AI-native routing combines proven performance with simplified automation to enable more sustainable networks.

We can help you meet evolving needs while assuring nonstop security and quality, simpler operations, reduced carbon footprint, and lower TCO.

AI-native routing provides a more agile and sustainable enterprise network that accelerates digital transformation. This intelligent network uses intent-based automation to dynamically self-optimize and deliver the best possible experiences. It provides a more reliable, secure, high-performance foundation to meet changing business needs at a lower cost with lower energy consumption and emissions.

We have embedded AIOps intelligence across our portfolio. With AI-native routers, we offer a blueprint to modernize the WAN for AI-Native Networking and lay the foundation for tomorrow’s most transformative digital applications.

AI-native routing FAQs

What problems does AI-native routing fix?

Two of the most prominent problems addressed by AI-native routing are network optimization and proactive incident resolution.

AI-native routing can dynamically adjust routes based on changing network conditions, traffic patterns, and other real-time data. This lets operators improve overall network performance and reduce latency.

Additionally, AI-native routing detects and mitigates routing problems proactively before these issues impact end users. This improves network reliability and customer satisfaction.

AI-native routing also allows for intent-based network optimization that enables the continuous and autonomous performance enhancements needed to meet increasing network demands.

What’s driving AI-native routing adoption?

AI-native routing adoption is primarily driven by the increasing demand for optimized network performance and the necessity for dynamic routing adjustments based on real-time data. AI-native routing solutions are designed to accelerate the transition toward autonomous network operations, promoting self-driving, self-healing, and energy-efficient private WAN environments.

Various sectors, such as state and local governments and healthcare, are also requiring private WANs that can securely handle increasing traffic. To meet these demands, AI-native routing solutions ensure optimized performance across distributed and complex environments through automated route optimization.

What are the advantages of AI-native routing deployments?

AI-native routing helps organizations achieve enhanced network efficiency, improved performance, and optimized operations to meet the growing demands of modern networking environments.

Some key benefits include:

End-to-end assurance: AI-native enterprise routing solutions deliver end-to-end assurance across wide-area networks
Efficient self-driving WAN environments: Juniper Networks' AI-native routing solutions provide a clear pathway for enterprises to accelerate the deployment and operation of self-driving WAN environments. These solutions optimize performance, enhance security, and reduce costs while supporting the demands of AI initiatives
Higher performance and efficiency: AI-native routing solutions enable tunnel-free, session-intelligent routing that enhances bandwidth efficiency and provides instant failover for decrease power consumption