IDC Brief: AI Agents & SASE

Is your network ready for AI agents that act on their own?

As agentic AI moves into production, a single prompt to an AI agent can fan out into many calls across apps, clouds and sites, and each call needs a network and a security decision. This IDC Analyst Brief explains where that leaves enterprise networks exposed, and what a managed SASE approach has to cover.

Written for heads of network and infrastructure, network architects, CISOs and CIOs.

What's inside the Analyst Brief?

  • Identity: What changes when AI agents act with delegated authority, including access an employee kept from an earlier role

  • Traffic: How agent traffic moves between clouds, colocation and SaaS, often on paths that never reach your web gateway

  • Visibility: Tracking what agents do across your tools

  • Worked example: How one AI-assisted customer quote exposes all three gaps at once

  • SASE: How secure access service edge (SASE) has to change now that agents start requests too, and where Asia-Pacific organisations stand on it

  • Checklist: Ten points to check when you choose a managed service partner

Key findings

Adoption

95% of large organisations worldwide run at least one AI agent workflow in production, with 11 agents on average.

Identity

35% of organisations include AI agents in their identity programs.

Security

37% of organisations that hit network-related delays in AI projects cite network security as the top cause

SASE

37% of Asia-Pacific organisations have implemented or are piloting an integrated SASE framework, while 57% are planning one in 2026-27

Most enterprises already run AI agents in production, but their identity programs, networks and SASE rollouts are still catching up. Request your copy of the IDC Brief.

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