Journey to the Self-Driving Network
From first steps with AIOps to full autonomy, Juniper helps you advance with confidence—reducing complexity, boosting productivity, and delivering better experiences at every stage.
AI-Native NOW: The New Era
As enterprise networks face growing complexity and resource constraints, assistive AI is no longer enough. Join us at AI-Native NOW on September 16 or 17 as we explore how agentic AI is powering the Self-Driving Network™.
The road to self driving networks
Getting to an autonomous network is a progressive journey. Each stage delivers greater value—easing IT burdens, accelerating resolutions, and enabling exceptional user experiences.
Stage 1: Data, the critical foundation
The foundation of a self-driving network is the right data. For over a decade, Juniper has collected rich telemetry to train the Marvis® AI engine, enabling advanced AIOps with proactive insights, actionable recommendations, and self-driving actions that streamline operations and elevate experiences.
Stage 2: Turning data into Insights
Real-time telemetry is processed in the cloud to deliver visibility into network performance and user experience. These insights help IT teams quickly identify root causes, resolve issues faster, and prevent disruptions.
Stage 3: Recommendations for rapid remediation
Marvis® AI Assistant takes insights to the next level, offering prescriptive recommendations for issue resolution. Marvis Actions flags the highest-impact issues across the network and suggests clear next steps, helping IT teams prioritize and respond with confidence.
Stage 4: Assisted self-driving actions
At this stage, the network begins to heal itself. With IT approval, Marvis can autonomously fix VLAN misconfigurations, resolve network loops, and automate tasks like policy updates—reducing downtime and easing the burden on IT teams.
Stage 5: The Self-Driving Network
The final stage is a fully autonomous network that resolves issues and optimizes performance without human intervention. By handling day-to-day operations and proactively fixing problems, it frees IT to focus on strategic initiatives that fuel innovation and business growth.
What’s under the hood
Mist
Mist™, Juniper’s AI-native networking platform, provides the agility, automation, and assurance you need to achieve quantifiable success at each stage of your journey.
Marvis AI engine
Juniper’s Marvis AI engine uses a combination of AI, ML, and data science techniques to optimize user experiences and simplify operations across the network.
Marvis AI Assistant
Our Marvis AI Assistant—the first and only conversational assistant for enterprise networks—leverages GenAI to simplify daily IT operations and elevate operator and user experiences.
Explainable AI (XAI)
XAI is all about transparency in AI, allowing humans to clearly understand how the decisions, predictions, or actions are made by an AI model—the key to building organizational trust in AI.
Related content
No Shortcuts: Building Trust on a Journey to the Self-Driving Network
Learn about the five stages of building organizational trust in AI and how Juniper is helping unlock the potential of fully autonomous networking.
Q&AI: The Path to Self-Driving Networks with AI
Bob Friday, Juniper’s Chief AI Officer, and Bob Laliberte, Principal Analyst at theCUBE Research, explore the five stages of the journey to a self-driving network.
Accelerating the journey to self-driving networks with new agentic AI-native capabilities
Explore how Juniper’s AI-native networking, powered by Marvis AI, is accelerating the move to self-driving networks—enabling autonomous operations that adapt, optimize, and resolve issues in real time.
White paper: Measuring your AIOps maturity
Use this white paper to assess where you are on your AIOps maturity journey and learn how to evaluate providers that will enable you on the journey to a more automated, self-driving network.