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HomeIndustryTelecomVideosBuilt-In Security for AI-Driven Networks
TelecomAICybersecurity

Built-In Security for AI-Driven Networks

•March 3, 2026
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TelecomTV
TelecomTV•Mar 3, 2026

Why It Matters

Embedding security into AI‑powered telco platforms protects critical data, builds customer trust, and creates monetizable services, giving operators a competitive edge in a rapidly digitizing market.

Key Takeaways

  • •AI demands security be integral, not an afterthought
  • •HPE integrates Juniper and Aruba for end‑to‑end secure telco stack
  • •Built‑in encryption and zero‑trust underpin edge‑to‑cloud deployments across networks
  • •Service providers can monetize security services like SASE offerings
  • •AI-driven analytics enable rapid anomaly detection and automated policies

Summary

The discussion centered on the necessity of embedding security directly into AI‑driven telecom networks, as illustrated by HPE’s new integrated telco portfolio unveiled at MWC.

With AI increasing the volume of telemetry and the need for centralized training and edge inference, HPE argues that security can no longer be a bolt‑on. The portfolio combines Juniper’s routing and Aruba’s wireless solutions, delivering end‑to‑end encryption, zero‑trust controls, and a unified management plane that protects data from the core to the edge.

David Hughes emphasized that “security needs to be built in, intrinsic in the network,” and highlighted HPE’s use of AI to model behavior, detect anomalies, and automate policy enforcement. He also noted that service providers can monetize security functions through offerings such as Secure Access Service Edge (SASE).

For operators, adopting built‑in security is essential to maintain customer trust, unlock new revenue streams, and stay ahead of evolving threats. The shift toward AI‑enabled, automated security orchestration will define the next phase of telco infrastructure.

Original Description

David Hughes of HPE explains how the IT giant is embedding security across its integrated networking, routing and compute portfolio to protect AI workloads at scale. From edge inferencing to unified automation, he outlines how secure AI-native networks enable service providers to modernise and monetise with confidence.
Featuring: David Hughes, SVP & GM, SASE & Security, Networking, HPE
#telecomtv #hpe #mwc26 #ai #security
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