Hospitality security teams defend dozens of properties, thousands of IoT endpoints, and segmented guest and corporate networks—with a centralized security model that was never built for that architecture. Attackers are exploiting that gap: credential-stuffing campaigns target loyalty programs at scale and ransomware operators reach operational infrastructure before most detection tools finish indexing.

This session breaks down how leading hospitality security teams are restructuring defense to match distributed attack surfaces—decentralizing detection and deploying autonomous AI that executes at the property level, at network boundaries, and at machine speed.

You'll walk away with:

• Why hospitality's distributed attack surface creates a gap that centralized detection and human-speed triage cannot close

• How autonomous AI is uniquely positioned to match distributed, machine-speed offense across every property and network boundary

• ⁠A framework for deploying AI across distributed, complex environments—and the right entry points