HPE Moves Self-Driving Networks From Vision to Reality With New Autonomous Networking Capabilities to Accelerate Secure, AI-Native Operations
Customers boost efficiency and proactive operations by using
With the introduction of new self-driving actions across
“The self-driving network is no longer aspirational; it’s operational,” said
“Over the past four years, the
Together, these capabilities enable networks to proactively improve user experience and prevent issues before they disrupt business operations. New self‑driving actions designed to optimize and secure end user experiences include:
- Dynamic Capacity Optimization: Autonomously identifies capacity bottlenecks and dynamically tunes RF parameters, including band selection, channel bandwidth, and power levels, beyond predefined operational ranges by leveraging learned utilization patterns. This delivers optimized end-user capacity, coverage, and roaming experiences for wireless users.
- Autonomous Missing VLAN Remediation: A trusted self-driving action that autonomously fixes VLAN configuration errors in the access layer to prevent blackholing of client traffic. This is an evolution from driver-assisted VLAN remediation, assuring even faster problem resolution for better user experiences.
- Rogue DHCP Protection: Autonomously detects and remediates unauthorized DHCP servers to mitigate potential external security risks and prevent end user connectivity disruptions.
- Real-time Dynamic Frequency Selection (DFS): Self-driving complements AI-driven Radio Resource Management (RRM) to adaptively learn and proactively avoid association issues on frequently impacted channels to mitigate wireless client disruptions.
- Client Roaming Optimization: Ensure smooth, uninterrupted roaming for users by analyzing client connectivity metrics, including location, leading to self-driving actions. User Experience Latency Metrics: Accelerate root‑cause identification by measuring Wi‑Fi performance at “first connect” and providing clear, end‑to‑end visibility into latency from the user’s device to the cloud.
Seamless, secure connectivity with
Both
- Simplified Inline Microsegmentation: provides a unified wired and wireless policy framework that enables consistent enforcement for distributed enterprises – without requiring a network redesign.
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Real-world Network Access Controller (NAC) Sandbox Testing: new “dry run” capabilities within
HPE Mist Access Assurance allow policies to be validated against actual conditions and to assess true impact before deployment, reducing risk, enabling zero trust, and ensuring operational continuity.
Availability of dual platform access points
Previously announced in December, the first AI-native, dual-platform Wi-Fi access points are now generally available (GA), beginning with the
Today's announcement blogs:
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HPE Aruba Central: New agentic features advancing self-driving networks -
HPE Networking delivers first Wi-Fi 7 access point that supports eitherHPE Mist orHPE Aruba Central - AI That Elevates Engineers: From Insights to Autonomous Actions with New Marvis Self-Driving
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HPE accelerates self-driving network operations with newHPE Mist agentic AI-native innovations -
HPE disrupts networking industry with expanded AI-native portfolio; reimagines future of IT operations with self-driving networks strategy -
HPE introduces sweeping security advancements to secure AI adoption and strengthen enterprise resiliency
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Media Contact:
ben.stricker@hpe.com
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