How Non-Human Identities Are Reshaping Identity and Access Management

Why Non-Human Identities Matter

If you ask most leadership teams who "uses" their systems, the answer defaults to people: employees, contractors, and customers. That answer is increasingly wrong.

Modern businesses run on bots, APIs, service accounts, and automated workflows that touch cloud resources around the clock, with zero direct human intervention. These non-human identities aren't a side detail of your tech stack. In many organizations, machine identities are tech stacks.

Access Management: The Non-Human Identity Blindspot

Every enterprise has an unspoken pecking order in identity security. Human identities get the MFA prompts, the onboarding checklists, and the annual access reviews. Non-human identities (NHIs), service accounts, API keys, cryptographic keys, CI/CD pipeline tokens, and virtual machine credentials get created ad hoc, granted broad access "just to get the job done", and then forgotten.

It's de facto the largest unmanaged attack surface in modern IT environments, and it deserves board-level attention, not a line item in the security team's backlog.

Non-Human Identities (NHIs) Represent a Scale that Organisations Have Not Budgeted For.

Non-human identities (NHIs) now outnumber human accounts in most organizations, often by 10x, 20x, sometimes 50x.

Every cloud service, automated workflow, integration account, and machine-to-machine communication channel spins up its own digital credential. Unlike human identities, machine identities do not report suspicious activity or request assistance when something goes wrong. They run continuously, silently, and largely outside the identity governance frameworks built for people.

That's what turns the situation into a structural problem, not an incidental one. Traditional identity and access management (IAM) was built on a simple premise: a human requests access, a human approves it, and a human is accountable. Non-human accounts break that chain entirely. With no human involvement at the point of use, standing privileges quietly pile up, and unnecessary access becomes the default, not the exception.

What the Data Actually Shows about Identity Security

The Anetac ISPM Survey Report validates a concern many CISOs have raised for years. Four findings stand out:

1. 44% of security professionals still rely on manual logging to track service accounts. 10% admit to having no visibility measures at all. Another 47% rely on static tools that fail to detect real-time threats, which means that most organisations lack visibility across their entire identity estate.
    
2. 75% of organizations report hybrid account misuse. Service accounts are used as human accounts, or vice versa, both on-premises and in the cloud. It's exactly the kind of ambiguity that lets unauthorised access attempts hide in plain sight because no one can say for certain whether an action was automated or manual.
    
3. 76% of security professionals admit their service accounts have direct access to the organisation's most sensitive assets. Yet 40% report that only 0–14% of those accounts actually need that level of access. When identities have more access than they need, convenience quietly becomes risk.
    
4. 53% of security professionals take 13+ weeks to rotate service account passwords. 35% stretch that to 16+ weeks. 3% rotate credentials once every one to five years. As credential theft and supply chain attacks accelerate, long credential rotation cycles become an avoidable source of risk.

Why Leadership Should Treat Machine Identities as a Growth Conversation

Every cloud migration, every automated workflow, every CI/CD pipeline your engineering team stands up multiplies the number of machine accounts touching your cloud resources. Growth without proportional identity oversight doesn't just increase opportunity, it increases risk. Every unmanaged identity and excessive permission expands the attack surface.

Research from CrowdStrike and Kiteworks points to an uncomfortable pattern: the longer a company operates and the more it automates, the more entrenched its identity security gaps become. They don't self-correct. They compound.

The Bottom Line

Security starts with visibility. Without it, every claim about governance, compliance, or resilience is based on assumption rather than evidence.

Non-human identities have quietly become a parallel workforce, one with system-level access and none of the accountability structures humans are held to. Machine identities deserve the same governance as human identities. Anything less leaves a gap that attackers are quick to exploit.

The organizations that get ahead of this won't just close a security gap. They'll be the ones still standing when the next breach headline names a competitor instead of them. Reaching out to TechDemocracy or a similar specialist can help translate the conceptual challenges described in this article into a practical roadmap: consolidating identity data, surfacing hidden non-human actors, rationalising tools, and embedding governance into daily operations instead of treating it as an annual audit exercise.