Apple's decision to prioritize local AI processing on devices like Macs and iPhones is proving prescient. For years, the tech industry focused on cloud-based AI. However, Apple bet on its Apple Silicon chips and Neural Engine to handle processing. Now, a new report suggests that local agents will win, but current management tools are not prepared for this evolution.

This shift presents challenges for IT professionals. Traditional device management tools focus on configuration, but the rise of AI agents demands a new approach. These agents, which will take actions on a user's behalf, require access to sensitive information. Securing these agents, and the credentials they use, becomes paramount. Current systems struggle with real-time risk assessment, creating an "Access-Trust Gap."

To address this, the report advocates for "Extended Access Management." This would involve validating a device's security posture before granting access to sensitive data. For Apple admins, this means moving beyond basic device management and gaining visibility into what local models are doing. It requires bridging the gap between identity providers and endpoint management.

Ultimately, Apple's focus on local AI offers advantages in terms of privacy and performance. However, businesses must adapt their security strategies. They need to evolve from basic device configuration to real-time trust verification. This will ensure that managed devices are also trusted devices, protecting against potential threats in this new era of AI.