How SASE Adapts to the Agentic Enterprise

A playbook for securing AI-driven workflows against machine-speed threats.

Secure your AI-driven workflows against machine-speed threats, nonhuman identity risks and data sprawl.

As organizations accelerate AI adoption, legacy SASE architectures are falling behind. With 40% of enterprise applications deploying embedded agents and cyber adversaries using AI to shorten attack timelines from days to hours, security architectures require an immediate upgrade.

This executive playbook details the five key architectural shifts transforming enterprise risk — and explains how an AI-powered SASE platform enables complete visibility and control without stifling business innovation.

Key Insights Inside the Playbook

  • Nonhuman identity (NHI) security: How to detect, govern and enforce least-privileged access for AI agents, APIs and Model Context Protocol (MCP) sessions.

  • Advanced Web Protection: How to defend against "last-mile reassembly" attacks occurring inside the browser runtime.

  • AI Data Governance: Strategies to stop shadow data exposure across ephemeral, short-lived AI workflows and LLM prompts.

  • Autonomous Operations: How AI-driven automation closes the gap on machine-speed attacks before exfiltration occurs.

  • Post-Quantum Preparedness: Steps to audit your Cryptographic Bill of Materials (CBOM) and neutralize "harvest now, decrypt later" strategies.

Access the SASE playbook.

Access the SASE playbook.

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