We use cookies to personalize content and to analyze our traffic. Please decide if you are willing to accept cookies from our website.

The IAM Blind Spot: Governing Non-Human Identities at Machine Speed

Agentic AI is exposing the limits of human-centric identity and access management. As non-human identities multiply and act autonomously, legacy IAM models break. For CIOs, CISOs, and senior IT leaders, the issue is no longer whether this shift matters, but whether existing IAM models can withstand autonomous agents operating at scale and speed.

Mon., 9. February 2026  |  6 min read

Identity and access management (IAM) governs how people, applications, and machines are authenticated and authorized to use digital resources. Historically, it has functioned as a login gatekeeper, but that model no longer holds. To support cloud-native systems and agentic AI, identity must evolve into dynamic control for autonomous software. The rapid growth of cloud services and agentic AI is driving an explosion of non-human identities (NHIs), often vastly outnumbering human ones. CyberArk reports roughly 82 machine identities for every human identity. These identities are non-human, short-lived, created at machine speed and often hold sensitive or privileged access. Despite this, 88% of organizations still define “privileged users” as human-only, even though 42% of machine identities already have privileged or sensitive access. This gap is widening as adoption accelerates. Gartner research indicates that enterprise software is rapidly embedding agentic AI capabilities, with autonomous decision-making …

Tactive Research Group Subscription

To access the complete article, you must be a member. Become a member to get exclusive access to the latest insights, survey invitations, and tailored marketing communications. Stay ahead with us.

Become a Client!

Similar Articles

Machine Customers: Your Digital Concierge for Business Transactions

Machine Customers: Your Digital Concierge for Business Transactions

Early adopters will use machine customers to conduct transactions semi-autonomously and autonomously for business by 2028 and 2032, respectively. If businesses selling goods and services continue to only focus on human customers then these machine customers will be missed and acquired by competitors. For retail businesses to stay competitive and increase profits, IT leaders and Customer Experience (CX) experts must plan to target machine customers.
Build Better AI Medical Assistants with Chain-of-Thought Prompting

Build Better AI Medical Assistants with Chain-of-Thought Prompting

AI benefits healthcare by improving the speed of patient diagnosis. Hallucinations are one concern in this process because they can lead to incorrect treatment. Chain-of-thought (CoT) prompting solves this by instructing an LLM to use advanced reasoning to find the best possible answer. Healthcare professionals who use AI can consider using CoT prompting to improve diagnosis speed and accuracy.
Fighting AI-Powered Threats with AI-Powered Defense

Fighting AI-Powered Threats with AI-Powered Defense

As cyberattacks become faster and more AI-driven, security teams need new tools to keep up. Read this article to explore key use cases of Agentic AI in SOCs and gain practical guidance on how to integrate it into your security operations.