aiqbench takeAI Safety

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.

Sources coveringSiliconANGLE, Quantum Computing Report, AWS, Quantum Zeitgeist

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

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

SiliconANGLESeptember 29, 20267 min read

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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