Recorded Future: Analyst Spotlight:  How to Identify and Prioritize Your Attack Surface (July 14th)
How To Manage Artificial Intelligence Risk And Security: Focus On Five Priorities
SiliconANGLE , June 8th, 2022
June 19, 2022,
Volume 291, Issue 3

In most organizations, artificial intelligence models are 'black boxes,' where only data scientists understand what exactly AI does. That can create significant risk for organizations.

"Large, sensitive datasets are often used to train AI models, creating privacy and data breach risks," notes Avivah Litan in SiliconANGLE .

"The use of AI increases an organization's threat vectors and broadens its attack surface. AI further creates new opportunities for benign mistakes that adversely affect model and business outcomes.

Risks that are not understood cannot be mitigated. A recent Gartner survey of chief information security officers reveals that most organizations have not considered the new security and business risks posed by AI or the new controls they must institute to mitigate those risks. AI demands new types of risk and security management measures and a framework for mitigation..."

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