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Mist AI and Cloud
Transform IT with AI-Native operations and support
Mist AI, a key part of Juniper’s AI-Native Networking Platform, uses a combination of artificial intelligence, machine learning, and data science techniques to optimize user experiences and simplify operations across the wireless access, wired access, SD-WAN, WAN Edge, data center, and security domains.
Data is ingested from numerous sources, including Juniper Mist Access Points, Switches, Session Smart Routers, WAN Edge Routers, and Firewalls for end-to-end insight into user experiences. These devices work in concert with Mist AI to optimize user experiences from client-to-cloud, including automated event correlation, root cause identification, Self-Driving Network™ operations, network assurance, proactive anomaly detection, and more.
Juniper also leverages Mist AI for next-generation customer support. It is the foundational element behind Marvis, the industry’s first AI-driven Virtual Network Assistant, which provides extensive insight and guidance to IT staff via a natural language conversational interface.
With Mist AI, operators save time and money with faster problem resolution and fewer onsite visits. Users benefit from a network infrastructure that is more predictable, reliable, and measurable.
Driven by Mist AI and machine learning, the Juniper Mist Wireless Assurance cloud service automates troubleshooting and operations, making wireless networks predictable, reliable, and measurable while providing near-real-time visibility into user service levels.
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Juniper Mist Routing Assurance
Mist AI uses a combination of artificial intelligence, machine learning, and data science techniques to optimize user experiences and simplify operations across the wireless access, wired access, and SD-WAN domains.
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Juniper Mist Wired Assurance
The Juniper Mist Wired Assurance service brings Mist AI to access-layer switching. It sets a new network management standard with AI-native operations and automation, improving the experiences of devices connected to resources through Juniper EX Series Switches.
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Juniper Mist WAN Assurance
The Juniper Mist WAN Assurance service simplifies operations, improves visibility into end-user experiences, and shortens SD-WAN mean time to repair.
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Marvis Virtual Network Assistant
Marvis, the first AI-Native virtual network assistant, optimizes user and operator experiences with proactive actions and self-driving network operations. A natural language conversational interface provides simple and seamless interactions, making Marvis an integrated member of any IT team.
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Juniper Mist Premium Analytics
Juniper Mist Premium Analytics is a cloud-based subscription service that offers end-to-end network observability, giving IT and line-of-business users unique network and location insights.
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Juniper Mist User Engagement
User Engagement uses virtual Bluetooth LE (vBLE) array technology and cloud-based machine learning to drive down deployment costs and improve the accuracy of real-time indoor location services, from wayfinding to location-based proximity notifications.
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Juniper Mist Asset Visibility
Asset Visibility makes it easy to find key assets and people, with detailed location analytics always at your fingertips.
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Juniper Mist IoT Assurance
The Juniper Mist IoT Assurance cloud service streamlines IT operations while securing network connections for headless IoT and BYOD devices. It uses Multi Pre-Shared Key (MPSK) or Private Pre-Shared Key (PPSK) as new types of identity and policy vectors to provide a simple yet comprehensive way to onboard client devices without relying on client MAC addresses.
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Juniper Mist Access Assurance
Juniper Mist Access Assurance, our cloud-based network access control service, simplifies user and device onboarding with easy policy creation and enforcement. It removes the struggles of design, deployment, and Day 0/1/2 operations while securing your network edge.
Marvis Minis proactively simulate user connections digitally to learn the network configuration via unsupervised machine learning and proactively highlight network issues, working with Mist AI to proactively simulate user connections to instantly validate network configurations and find/detect problems before they have a chance to negatively impact end user experience.
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Marvis VNA for Data Center
Marvis VNA for data center is an add-on to Marvis, the industry’s only AI-Native virtual network assistant. It works in conjunction with Juniper Apstra to provide proactive and prescriptive data center actions and simplifies knowledgebase queries using the Marvis conversation interface (powered by GenAI).
Why Juniper is outpacing the competition
Before you take another step in building out your network, check out this wired and wireless LAN comparison guide. See how Juniper, driven by Mist AI™, stacks up against Cisco, Cisco Meraki, and Aruba/Hewlett Packard Enterprise.
See Mist AI in action
Join our weekly demo to see how we deliver the industry’s best access layer experience for wired and wireless networks.
Mist AI FAQs
What is Mist AI?
Mist AI is a core part of Juniper’s AI-Native Networking Platform that employs artificial intelligence, machine learning, and data science techniques to improve user experiences and streamline operations across multiple networking domains, including Wi-Fi and wired campus and branch access, SD-WAN, WAN Edge, data center, and security.
What is Marvis and how does it utilize Mist AI?
Marvis is the industry’s first AI-Native virtual network assistant that leverages Mist AI to deliver in-depth insights and guidance to IT staff. It operates through a natural language conversational interface, simplifying the management and troubleshooting of network-related issues.
How can I get started with Mist AI?
There are many ways to get started with Mist AI. Qualifying participants can get a free Juniper access point and a 90-day trial of Mist Cloud Service. Experience the benefits of Mist AI first-hand. Claim yours today. You can also take Mist AI for a test drive with the Mist AI product tour.
AI Security and Data Use FAQs
How does Juniper Mist AI secure user data?
Protecting our end users’ data is mission critical to Juniper and we take many steps to ensure our customer data is secure:
- Cloud Security: Mist AI is co-located in tier-1 data centers with industry standard certifications that feature state-of-the-art physical and cybersecurity with highly reliable designs.
- Encryption: Industry standard encryption is utilized for data communications across network administrators, infrastructure hardware/software, end users, and the Juniper Mist Cloud while stored data is block-encrypted.
- Data Collection: Juniper Mist AI only collects required data to provide relevant insights into network health. Juniper minimizes collection and retention of data to simplify data subject response and process.
To learn more about how Juniper secures user data, see the Mist AI Cloud Services Description.
What data does Mist AI collect and process?
Juniper, by default, only collects certain device data and does not collect the payload data of applications, network devices, Internet of Things (IoT) devices, or individual device end users. The collection and analysis of device data allows Juniper to provide insights into a specific network, IoT, or user devices’ behavior, along with analytics across device types, for proactive network issue detection and resolution. To learn more about what device data is processed, see the Mist AI Cloud Services Description.
How does Juniper Mist AI protect against AI vulnerabilities?
- Security Testing: Juniper performs web security testing from development through production. Juniper periodically scans for SQL injections, cross-site-scripting (XSS), and more than 700 other vulnerabilities, including the OWASP Top 10.
- Cyber Incidents: Juniper’s Cyber Incident Response Team (CIRT) manages vulnerability reports and provides support for security incidents.
To learn more about how Juniper secures user data, see the Mist AI Cloud Services Description.
How does Juniper Mist AI ensure ethical processes and governance?
Juniper follows AI Innovation Principles to ensure that our AI solutions are mission-driven, transparent, explainable, inclusive, and secure.
Watch to this short video from our Chief AI Officer to learn about the importance of ethical AI: Bob Friday Talks - AI Alchemy: Building Trust in the Digital Wizard.
How is my data 'ringfenced' within the Juniper Mist AI engine?
Juniper Mist AI segregates each company’s data so one organization cannot see another organization’s information. To learn more about how Juniper secures user data, see the Mist AI Cloud Services Description.
How does Juniper Mist AI handle digital sovereignty?
Juniper ensures customers have digital sovereignty when it comes to their data in a number of ways:
- Data Storage Location: Juniper gives customers sovereignty over where their data is located. End users may elect U.S., UK, EU, Canada, or Australia hosting based on their regulatory requirements.
- Data Ownership: The licensed entity or end user retains ownership of its customers’ data. In connection with end users’ use of the Cloud Service, Juniper collects and uses processed data in accordance with the Juniper Privacy Policy. Juniper uses processed data to enable, optimize, and provide the Cloud Services and support the end user and improve Juniper Cloud Services in general.
- Data Protection: Protecting end users’ data is mission critical to Juniper and we take many steps to ensure our customer data is secure, from cloud security to encryption to minimizing data collection and retention.
To learn more about how Juniper secures user data and provides end users with control over their data, see the Mist AI Cloud Services Description.
Juniper’s Explainable AI FAQs
What AI techniques does Mist AI use?
Mist AI uses a combination of artificial intelligence, machine learning, and data science techniques to optimize user experiences and simplify operations.
Here are few techniques in Juniper’s AI Data Science toolbox:
- Bayesian Inference for accurate root cause analysis
- Reinforced learning for Radio Resource management
- Mutual information algorithm for service-level expectations (SLEs) to determine which network features are having the most impact on the failure or success of an SLE
- Decision tree algorithm for finding faulty cables
- And, of course, Marvis’ conversational interface, which leverages natural language processing and understanding (NLP, NLU), large language models (LLM), and Generative AI (GenAI) to provide specific answers for troubleshooting issues, gaining user experience insights, and finding documentational and support
To learn more about the logic behind Juniper’s Mist AI, see our Explainable AI (XAI) webpage.
How does Juniper train AI models? Does Mist AI primarily rely on supervised or unsupervised machine learning?
Juniper Mist AI uses supervised, unsupervised, and reinforced machine learning. For example:
- Unsupervised learning is used for indoor location services. The AI engine learns the path loss model for every device in the network to make better location estimates.
- Supervised learning is used to predict user experiences by analyzing past data. For example, this enables Mist AI to detect anomalies and predict user experiences with Zoom and Microsoft Teams experiences.
- Reinforced learning is used to enable AI-Native Radio Resource Management (RRM). RRM optimizes site-wide wireless coverage and capacity by optimizing connections for individual APs though automatic adjustments to transmit power or channel usage in real time.
To learn more about the logic behind Juniper’s Mist AI, see our Explainable AI (XAI) webpage and watch these short video on AI development and training: Bob Friday Talks: Coding Minds and Bob Friday Talks: Bytes of Brilliance, Unveiling the AI Canvas. An AI Primer.
Is Juniper Mist AI explainable AI (XAI)?
Yes, Juniper’s AI techniques are explainable. To build trust and confidence in our AI, we provide transparency in how we leverage AI/ML tools.
To learn more about the logic behind Juniper’s Mist AI, see our Explainable AI (XAI) webpage.
Is natural language processing (NLP) a key component of Mist AI's functionality?
Yes, Juniper Mist AI leverages natural language processing and understanding (NLP, NLU), large language models (LLM), and Generative AI (GenAI) to power the Marvis virtual network assistant.
We’ve also integrated ChatGPT with Marvis to deliver more human-like conversational capabilities, particularly regarding documentation and support issues.
Does Mist AI integrate with third-party tools?
Yes, Mist AI seamlessly integrates with third-party tools with 100% open APIs. Key integration partners include ServiceNow, Zoom, Microsoft Teams, Cradlepoint, and Zebra.
To learn more, see our blog post: End-to-End Assurance: Building an Ecosystem to Transform the Campus & Branch.
