Endpoint DLP for Data at Rest in the Age of Local AI
Palo Alto Networks, Thursday, June 25th, 2026
Palo Alto Networks argues local AI agents demand Endpoint DLP that continuously scans data at rest.
This article argues that local AI applications have fundamentally changed endpoint data security risks.
Whereas traditional DLP focused on preventing data egress via USB drives or email, AI agents now read files directly from employee laptops without triggering those controls.
Palo Alto Networks proposes expanding Endpoint DLP with continuous data-at-rest scanning delivered through a unified SASE agent to detect and classify sensitive content, monitor what AI applications access, and enforce consistent policies.
The goal is to shift from reactively catching exfiltration to proactively knowing what AI is reading the moment it reads it.