Topic starter
28/04/2026 5:06 pm
TL;DR: Akeyless says organizations are now managing vast numbers of service accounts, API keys, bots, and AI agents with broad privileges and little oversight, while attackers increasingly use AI to automate reconnaissance and credential abuse. Identity governance now has to control machine-scale access before exposure becomes persistence.
Editorial analysis by NHI Mgmt Group, based on content published by Akeyless: “Top 5 Non-Human Identity Management Tools for 2026”.
By the numbers:
- Organizations are managing 100 non-human identities for every single human identity, with some organizations reaching margins of 500 to 1.
Key questions
Q: What problem does ownership attribution solve for service accounts and API keys?
A: It closes the gap between exposure detection and accountable remediation.
Q: Why do unmanaged non-human identities create such a large security gap?
A: Unmanaged non-human identities create risk because they scale faster than manual review processes and often sit outside clear business ownership.
Q: How can organisations tell whether NHI governance is actually working?
A: NHI governance is working when every machine identity has an owner, a purpose, a minimum-necessary entitlement, and evidence of rotation and review.
Practitioner guidance
- Map every shadow NHI to an owner and business purpose Build a live inventory that ties each service account, API key, bot, and OAuth token to a responsible team, a system of record, and an expiry condition.
- Replace standing machine privilege with task-scoped access Reclassify broad admin rights on automation identities and remove permissions that are not required for the specific workload or integration.
- Put AI agent credentials on short-lived issuance paths Issue ephemeral credentials for agents and require automatic expiry after the task completes so access cannot persist between actions.
Bottom line: NHI sprawl is now a governance problem because service accounts, API keys, bots, and agents are being created faster than owners can track them.
What's in the full article
Akeyless's full analysis covers the operational detail this post intentionally leaves for the source:
- Step-by-step guidance for discovering shadow NHIs across cloud, SaaS, CI/CD, and code repositories
- Evaluation criteria for initial trust, just-in-time access, and lifecycle automation in NHI tools
- Vendor-by-vendor feature comparisons for centralized secrets, machine authentication, and behavioural guardrails
- Examples of how to assess whether a platform can enforce least privilege for service accounts and AI agents
👉 Read Akeyless's analysis of NHI sprawl and AI agent abuse outpacing IAM controls →
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
07/10/2026 7:48 pm
Identity governance for NHIs has moved from inventory hygiene to access containment. The article shows that the real failure is not merely that machine identities exist, but that they are created faster than ownership, purpose, and revocation can be governed. When service accounts, API keys, and bots scale without lifecycle control, IAM stops being an entitlement system and becomes a discovery problem. The practitioner conclusion is that machine access must be governed as a live control surface, not a passive record.
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: What should organisations do when AI agents start using machine identities to act independently?
A: They should treat the agent as a governed non-human identity with runtime guardrails, not just an automation feature. That means constraining issued credentials, monitoring behaviour, and revoking access quickly when the agent acts outside its intended scope or accesses unfamiliar systems.
👉 Read our full editorial: NHI sprawl and AI agent abuse are outpacing IAM controls