Topic starter
10/12/2025 1:05 pm
TL;DR: AI-driven shadow IT, deepfakes, and exploding machine identities are widening attack surfaces and weakening trust assumptions, according to Delinea. The bigger issue is that identity assurance can no longer rely on static checkpoints when people, machines, and tools all act at digital speed.
Editorial analysis by NHI Mgmt Group, based on content published by Delinea: “Why a smarter, riskier world demands constant identity verification”.
Key questions
Q: What breaks when identity is treated as a login layer only?
A: When identity is treated as a login layer only, teams miss the fact that many high-risk decisions happen after authentication, inside delegated workflows and tool chains.
Q: Why do deepfakes create such a problem for video-based approval processes?
A: Because they exploit a control assumption that was never designed for synthetic media.
Q: What are the biggest risks of unmanaged machine identities?
A: Unmanaged machine identities can retain forgotten permissions, overprivileged access, and exposed credentials that attackers can reuse.
Practitioner guidance
- Continuously inventory AI tools and access pathways Map where AI tools are being used, what data they touch, and which identities they rely on so hidden connections do not become unmanaged attack paths.
Bottom line: AI-era identity risk is less about a single weak login and more about trust decisions that stay in place after the context has changed.
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11/10/2026 3:12 am
Constant identity verification is becoming the baseline because static trust no longer matches how access is actually used. Authentication once at the front door is not enough when AI tools, bots, and human workflows keep changing the effective risk profile after login. The governing principle is shifting from prove once to prove continuously, which means trust must be treated as a live state rather than a completed step.
A few things that frame the scale:
- NHIs outnumber human identities by 25x to 50x in modern enterprises, according to the Ultimate Guide to NHIs.
A question worth separating out:
Q: How should security teams govern identity fabrics across human, machine, and AI access?
A: Treat identity fabric design as a governance model, not a tool replacement. Start by aligning provisioning, privilege, review, and offboarding across human, machine, and AI identities so that policy follows the entitlement, not the platform. The goal is consistent control decisions across all actor types, especially where delegated access crosses system boundaries.
👉 Read our full editorial: Constant identity verification is now the baseline for AI-era security