On-device AI inference creates new security blind spots

The rise of powerful AI models running locally on employee devices, known as on-device inference or 'Shadow AI 2.0,' presents a significant blind spot for Chief Information Security Officers (CISOs). Traditional network security controls are ineffective as these models operate offline, bypassing cloud monitoring and data loss prevention systems. This shift introduces risks related to code integrity, intellectual property exposure due to unvetted model licenses, and supply chain vulnerabilities from model artifacts. CISOs must adapt by implementing endpoint-aware controls, providing curated internal model hubs, and updating security policies to address local AI usage.