Non-Human Identity: Securing Machine and Agent Credentials

Your Biggest Identity Problem Isn't Your Employees

Every enterprise network now runs on far more non-human identities than human ones — service accounts, API keys, CI/CD pipeline tokens, IoT and network-device certificates, SaaS integration credentials, and increasingly, individual AI agents each carrying their own login. Most identity and access programs were built around people: onboarding, MFA, periodic access reviews. Machine identities quietly grew around that program instead of inside it, and in most organisations nobody owns the full inventory.

The gap matters because non-human credentials are usually long-lived, broadly scoped "to avoid breaking things," and rarely rotated — the opposite of what a strong identity posture looks like. A leaked employee password gets flagged by anomalous login behaviour and MFA. A leaked service-account key or API token often has no equivalent tripwire at all.

Where the Sprawl Comes From

• Forgotten service accounts. Created for a migration, an integration or a one-off script years ago, still holding standing access long after the project — and often the employee who set it up — is gone.
• Secrets hardcoded in code and CI/CD. API keys and tokens committed to repositories or baked into pipeline configuration outlive the reason they were added, and rotating them means hunting down every place they were copied.
• Third-party SaaS integrations. Every connected app mints its own token with its own scope, and most organisations have no central register of which third-party service can read or write what.
• Network and IoT devices. Switches, access points, cameras and sensors are frequently bootstrapped with static credentials or shared certificates that are never rotated after deployment.
• AI agents and automations. Each agent, bot or scheduled workflow typically needs its own credential to call tools and APIs — and the pace of agent rollout in 2026 is outrunning the pace at which most identity teams can register and scope them.

The Same Blind Spots, at Machine Speed

A compromised non-human credential tends to have three things working in the attacker's favour: broader access than the task ever needed, no expiry date, and no owner who would notice it behaving strangely. Where a human account triggers an alert for a login from an unusual location or an unusual hour, a service account or agent token calling the same API it always calls — just for a different purpose — blends into normal traffic.

This is also where agentic AI adds a new dimension rather than a separate problem. An agent's credential is a non-human identity like any other, but one that can be given broader latitude to act — which is exactly why the access-control questions raised in our piece on agentic AI governance and the unsanctioned tool sprawl covered in shadow AI both come back to the same root cause: credentials nobody is tracking end-to-end.

Bringing Non-Human Identity Under Control

• Build one inventory, not five. Service accounts, API keys, certificates, device credentials and agent tokens should live in a single register with an owner, a purpose and an expiry — not scattered across cloud consoles, vaults and spreadsheets.
• Replace static secrets with short-lived, federated identity where you can. Workload identity federation, mTLS and OIDC-based service-to-service auth remove the long-lived key an attacker can steal in the first place.
• Scope to the task, not the account type. A credential should get exactly the read/write access its specific job needs, reviewed on the same cadence as employee access — not a broad role granted once and never revisited.
• Centralise secrets management with automatic rotation. A managed secrets store that rotates keys and certificates on a schedule closes the gap left by "we'll rotate it later," which in practice means never.
• Monitor machine behaviour, not just machine existence. Baseline what each service account, API key and agent normally does, and alert on deviation the same way you would for a human user's login pattern.

eNeoteric's VAPT and threat intelligence engagements now include a non-human identity review — mapping every service account, API key and agent credential against an owner and an expected access pattern — alongside our standard security assessment scope. If your organisation is rolling out AI agents or has never fully inventoried its service accounts and API keys, talk to our team about scoping a machine-identity review before the next audit or incident forces the question.