Topic starter
16/01/2026 5:42 pm
TL;DR: Cloud, SaaS, and agentic software have pushed identity beyond employees and a few service accounts, while the article argues that more than 80% of attacks still begin with identity compromise, according to Silverfort. The practical shift is clear: IAM is no longer back-office plumbing, but the control layer that has to govern human and non-human access in real time.
Editorial analysis by NHI Mgmt Group, based on content published by Silverfort: “IAM at the frontlines: Why 2025-2030 is the most exciting decade for identity professionals”.
Key questions
Q: How should security teams build identity governance across humans, machines, and AI agents?
A: Start with a single inventory that records identity type, ownership, access scope, and system relationships across human users, service accounts, tokens, and AI agents.
Q: What breaks when AI native engineering is governed with static roles and periodic reviews?
A: Static roles and periodic reviews fail because they assume identities remain stable long enough to be reviewed later.
A: Common signs include excessive permissions, stale or orphaned accounts, outdated policies, unaccounted access points, and weak logging coverage.
Practitioner guidance
- Map the full identity estate Inventory human users, service accounts, workloads, scripts, bots, and AI-driven actors in one governance view so access ownership and scope are visible across the estate.
- Move access decisions to runtime Reduce reliance on periodic reviews and static roles by feeding context, behavior, and risk into access decisions at the moment access is requested.
- Treat non-human identities as first-class subjects Apply the same lifecycle discipline to machine identities that you already expect for human accounts, including ownership, entitlement scope, and offboarding.
Bottom line: Identity compromise remains the dominant entry point, but the scope of damage is larger because the identity estate now includes machines, bots, and AI-driven systems.
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This topic was modified 6 days ago by NHI Mgmt Group
06/10/2026 11:41 pm
Identity has become the operating layer for enterprise security, not a support function. The article captures a real structural change: access is now the mechanism through which cloud, SaaS, workloads, and AI-driven operations are controlled. That means IAM no longer sits downstream of security architecture. Practitioners should read this as a mandate to align identity governance with runtime security outcomes, not only with administration and audit.
A question worth separating out:
Q: How should organisations govern non-human identities alongside human IAM?
A: Treat non-human identities as a separate control population with their own inventory, ownership, lifecycle, and reporting. Service accounts, API keys, tokens, certificates, and AI agent credentials should not be folded into generic IAM metrics. That separation makes privilege review, rotation, and offboarding measurable and prevents hidden machine access from accumulating outside normal access governance.
👉 Read our full editorial: Identity is moving to the frontline of enterprise security