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This article addresses the critical shift in identity management where autonomous AI agents now outnumber human users, creating a massive governance gap for sensitive data access. The core issue is that organizations lack visibility and control over these rapidly proliferating "shadow agents," making robust identity verification essential for securing AI infrastructure.
Surse care acoperăSiliconANGLE, Quantum Computing Report, AWS, Quantum Zeitgeist
Ce este aceastaLectura unui model asupra articolului și a acoperirii conexe, scrisă pentru aiqbench. Nu sunt cuvintele publicației.

In the AI era, identity evolves into the control plane for trust

SiliconANGLE7 min de cititArticolul și perspectiva sunt în engleză.

Every major security shift ultimately comes down to one question: Who or what is allowed to do this? For most of the past two decades, the answer was a person with a username and password. In the artificial intelligence era, the answer increasingly is an agent, and most organizations have no idea how many agents […] The post In the AI era, identity evolves into the control plane for trust appeared first on SiliconANGLE.

Every major security shift ultimately comes down to one question: Who or what is allowed to do this? For most of the past two decades, the answer was a person with a username and password. In the artificial intelligence era, the answer increasingly is an agent, and most organizations have no idea how many agents they have, what they can reach, or who is responsible for them. This is the primary reason identity has become a critical, and some would argue the most important, layer in the AI security stack. Reflecting this, the theme of this year’s SailPoint Technologies Inc.’s Navigate conference is “AI, secured,” which I will be attending on October 5-8 in Austin, TX. A tremendous amount of data supports the identity thesis. As an example, Palo Alto Networks Inc.’s 2026 Identity Security Landscape report found…

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