Topic starter
24/12/2025 9:37 am
TL;DR: Traditional IAM is struggling to keep up with multicloud sprawl, AI adoption, and nearly 10 billion identities, according to Saviynt. The editorial issue is no longer whether IAM needs modernization, but whether identity governance can scale across human, machine, and AI-driven access without adding more blind spots.
Editorial analysis by NHI Mgmt Group, based on content published by Saviynt: “Identity Security in the Age of AI: Why Modernizing IAM Is a Business Imperative”.
By the numbers:
- Organizations today manage nearly 10 billion identities spanning employees, contractors, applications, and machine accounts.
Key questions
Q: What breaks when organisations rely on legacy IAM for agentic AI workloads?
A: Legacy IAM breaks when it assumes slower, human-paced access patterns.
Q: Why does identity growth create more risk even when controls still exist?
A: Controls can exist and still fail if they cannot scale across the full identity estate.
Q: How do security teams know whether enterprise IAM is actually working?
A: They should look for evidence that entitlements are narrow, short-lived, and fully traceable.
Practitioner guidance
- Inventory identities and access paths Create a complete inventory of users, applications, machine accounts, and their access paths before prioritising remediation or automation.
- Classify non-human identities separately Map APIs, bots, service accounts, and other non-human identities to explicit owners, business purpose, and lifecycle status.
- Automate high-risk access review Use automation to flag critical permissions, but keep human review for policy exceptions and privileged entitlements.
Bottom line: Legacy IAM models struggle when access estates span humans, machines, and AI-driven workflows at cloud scale.
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This topic was modified 10 months ago by Abdelrahman
This topic was modified 5 days ago by NHI Mgmt Group
This topic was modified 3 days ago 2 times by NHI Mgmt Group
07/10/2026 9:25 pm
Identity modernisation is now a governance problem, not just an IAM refresh. The article is really about the collapse of the old assumption that identity estates are finite, human-centred, and administratively manageable. Once organisations operate across cloud, hybrid, machine, and AI-driven access, visibility and decision velocity become governance constraints. Practitioners should treat IAM modernisation as a business control plane question, not a tooling upgrade.
A question worth separating out:
Q: How should organisations govern machine identities for compliance?
A: Start with discovery, ownership, and lifecycle control. Every service account, API key, token, and certificate should have a named owner, a documented purpose, and a revocation path. Compliance improves when machine identities are continuously inventoried and reviewed, rather than sampled once a year from partial records.
👉 Read our full editorial: IAM modernization is now a business imperative in AI-driven enterprises