RESEARCH PAPER: Intel – Protecting Data and Models Within Emerging AI Workflows

By Will Townsend, Patrick Moorhead - August 23, 2023

The rise of artificial intelligence (AI), fueled by the overwhelming popularity of AI- powered language models like ChatGPT, along with the broader generative AI applications, spotlights the importance of data security.

The large amount of data AI requires to train models makes data security paramount. Beyond securing the data used to build large language models (LLMs) — public and foundational — protecting the AI models themselves becomes equally important. This is true cross-domain, public and private, on-premises, in the cloud, and at the network edge.

You can download the paper by clicking on the logo below:

Companies Cited:

Intel

Will Townsend

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Will Townsend manages the networking and security practices for Moor Insights & Strategy focused on carrier infrastructure providers, carrier services, enterprise networking and security. He brings over 30 years of technology industry experience in a variety of product, marketing, channel, business development and sales roles to his advisory position.

Patrick Moorhead

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Patrick founded the firm based on his real-world world technology experiences with the understanding of what he wasn’t getting from analysts and consultants. Ten years later, Patrick is ranked #1 among technology industry analysts in terms of “power” (ARInsights) in “press citations” (Apollo Research). Moorhead is a contributor at Forbes and frequently appears on CNBC. He is a broad-based analyst covering a wide variety of topics including the cloud, enterprise SaaS, collaboration, client computing, and semiconductors. He has 30 years of experience including 15 years of executive experience at high tech companies (NCR, AT&T, Compaq, now HP, and AMD) leading strategy, product management, product marketing, and corporate marketing, including three industry board appointments.