AI Security Isn’t One Problem Anymore. So Why Are We Still Treating It Like One?

AI security has evolved beyond traditional approaches as AI systems now permeate various facets of organizational operations, such as employee workflows, application functionalities, and autonomous agent actions. The nature of AI risk is inherently fragmented, with threats stemming from human interactions, probabilistic outputs, and system actions, which makes it challenging to address these risks in isolation. Organizations typically attempt to tackle AI security through disparate solutions, but the interconnectedness of AI systems demands a unified approach, known as the AI Defense Plane. This approach consolidates visibility, protection, and governance across all AI interactions, enabling organizations to track risk across the entire lifecycle of AI from input to action. As AI transitions from generating outputs to executing actions, the repercussions of security lapses increase, necessitating a coordinated security strategy that views AI as an integrated system rather than a collection of isolated tools.

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