STACKCURVE
Research & Advisory/CURVE(TM) Reports/AI Infrastructure & Connectivity
2026 · CURVE(TM) ReportSecure Enterprise Edge

AI Infrastructure & Connectivity CURVE(TM) Report

The silicon-to-cloud layer powering the AI enterprise - and who is securing it.

The AI infrastructure layer - from GPU clusters and inference endpoints to AI-optimized networks and hyperscaler connectivity - is simultaneously the most critical and the most exposed layer in the enterprise stack. This report covers the vendors securing the AI fabric itself: the switches, interconnects, clouds, and edge nodes that AI depends on, and the security controls being built into each layer.

No paywall · Contact details required

Key Findings

  • 1Inference endpoint security is two years behind the maturity of AI model security
  • 2Three hyperscalers dominate but differ materially in AI-native security controls
  • 3AI-optimized networking (InfiniBand / RoCE) introduces east-west traffic risks without native encryption
  • 4Edge AI deployment is outpacing enterprise security teams' ability to monitor it
  • 5The vendors who secure the fabric - not just the models - will own the highest-margin AI security contracts

Inside the Report

What's covered

01

The AI Fabric Defined

A map of the AI infrastructure stack: GPU clusters, inference endpoints, AI-optimized networking, hyperscaler connectivity, and the edge nodes where AI is deployed.

02

Inference Endpoint Exposure

The inference endpoint is the newest and least-hardened attack surface in enterprise AI. What the exposure looks like and who is closing it.

03

Cloud Connectivity & AI Risk

How cloud-native AI deployments create connectivity risks - data residency, egress exposure, cross-cloud orchestration gaps - and who addresses them.

04

Vendor Landscape on the CURVE(TM)

Vendors from infrastructure, networking, and cloud plotted on the AI Infrastructure CURVE(TM). Who is building security in, not bolting it on.

05

The Strategic Sourcing Play

A procurement framework for enterprises building out AI infrastructure with security as a first-class requirement, not an afterthought.

Who Should Read This

  • Infrastructure architects designing AI compute and networking layers
  • CISOs responsible for AI platform security
  • Cloud architects with AI workload mandates
  • CIOs evaluating hyperscaler AI platform choices
  • Procurement leaders sourcing AI infrastructure at enterprise scale

Report Details

Published2026 Edition
PillarSecure Enterprise Edge
FormatPDF - Free Download
IndependenceNo pay-for-placement

Free Report

Get the AI Infrastructure & Connectivity CURVE(TM)

Enter your contact details - the PDF is yours immediately.

Editorial Firewall

Independent by design. Not pay-for-placement.

No vendor pays to appear in a CURVE(TM) Report, influence a tier, or shape a finding. Reprint rights are the only commercial relationship - purchased after publication, never before. The editorial firewall is the product.

Read the Full Methodology →