Security moves below the operating system as AI PCs take on the data protection job
40% of data flowing into AI tools is sensitive. Chipmakers are moving security below the OS to stop it.
Why it matters
Enterprise AI adoption has outpaced data loss prevention. Device makers are embedding security into silicon and firmware to inspect what employees paste into chatbots before it leaves the machine — a fundamental shift in where (and how) the compute stack protects data.
The key facts
5 to know40% of all data moving into AI tools involves sensitive material (Cyberhaven 2026 report)
Rules-based DLP tools cannot keep pace with AI assistant adoption speed
Security is moving from OS/network layer into device hardware and firmware
Chipmakers and device makers are rebuilding enterprise data loss prevention around on-device AI
On-device classification and inspection before data leaves the machine
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Chipmakers and device makers are rebuilding enterprise data loss prevention around on-device AI security, as employees paste sensitive material into chatbots and assistants faster than rules-based tools can inspect it. Nearly 40% of all data moving into AI tools now involves sensitive material,…