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Securing AI at Scale

by Lisa Park - Tech Editor

Securing⁤ AI: an Evolving Risk Landscape

Published November 6, 2025

The Expanding​ Attack​ Surface ​of⁣ AI

Artificial intelligence is⁢ driving significant business transformation, but this progress simultaneously broadens the​ potential attack surface ‌across all operational layers. Security risks now extend beyond traditional concerns like data​ breaches⁢ and model inaccuracies to encompass vulnerabilities in infrastructure, applications, user interactions,⁣ and network connections. A⁢ weakness in any single component can dramatically increase an enterprise’s overall⁢ risk.

Insights from Ann Dunkin

Ann dunkin,​ external fellow and⁤ distinguished professor of‌ the practice at the ‌Georgia institute of Technology, explored the‌ evolving risk landscape of AI and outlined⁢ practical‍ security methods for both AI use and development in a‍ recent⁤ keynote presentation. This segment​ was originally part of the live webinar, “The CIO’s⁢ Guide to AI Security,” presented by InformationWeek⁢ on October 22, ⁢2025.

Access the Full Webinar

For a comprehensive ⁢understanding of AI⁢ security strategies, watch the archived “CIO’s Guide to ⁤AI Security” webinar on demand.

This article provides details‍ based on a presentation⁣ delivered on​ October 22,2025,and current as of november 6,2025.

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