Your developers are already running AI locally: Why on-device inference is the CISO’s new blind spot
The shift towards local inference of large language models (LLMs) on employee devices poses new security risks for organizations, as traditional data loss prevention measures become ineffective. This "bring your own model" (BYOM) trend necessitates a re-evaluation of governance and security policies to address issues related to code integrity, compliance, and model provenance directly at the endpoint.
With the rise of "bring your own model" (BYOM) practices, where employees run large language models locally on their devices, traditional network security measures are becoming insufficient. As a professional in AI, it's crucial to shift the focus of security from the network to the endpoint. Implementing endpoint-aware controls, including maintaining an internal curated model hub and updating policy language to explicitly cover local model usage, can help mitigate risks associated with unvetted local inference, ensuring compliance and protecting intellectual property.