Machine credentials need identity controls, not just secret management

At a glance

What this is: This is an argument that machine credentials should be governed as identities, because long-lived secrets and exportable tokens create silent NHI risk.

Why it matters: IAM and NHI teams need to treat machine authentication as a lifecycle and privilege problem, not just a secret storage problem, or detection and containment will lag.

By the numbers:

• In modern enterprises, NHIs outnumber humans by as much as 50 to 1.
• Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them.
• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.

👉 Read Beyond Identity's analysis of machine credentials as identities

Context

Machine credentials are the authenticators used by service accounts, bots, workloads, and AI systems. The problem is not that they exist. The problem is that many enterprises still manage them like static infrastructure secrets instead of identities with scope, lifecycle, and revocation requirements. That gap is now a direct NHI governance issue, because the same credential patterns that make automation scalable also make compromise quiet and hard to contain.

The article argues that human identity security is moving toward stronger authentication while machine identity security still depends on long-lived API keys, client credentials, and bearer tokens. That asymmetry is common across enterprises, not exceptional, and it explains why NHI compromise often persists longer and spreads wider than teams expect. The right lens is identity blast radius, not secret count.

Key questions

Q: How should security teams govern machine credentials as identities?

A: Security teams should assign an owner, a purpose, a scope, and a revocation path to every machine credential. Treat service accounts, API keys, and tokens as identities with lifecycle events, not as background configuration. That makes access review, rotation, and offboarding measurable instead of ad hoc.

Q: What is the difference between secret rotation and identity governance for NHI?

A: Secret rotation replaces a credential, but identity governance controls who or what may use it, for how long, and under what conditions. Rotation reduces exposure time, while governance reduces the privilege and reach of the identity itself. Mature programmes need both, because rotation alone does not fix excessive access.

Q: When do long-lived machine secrets become unacceptable risk?

A: They become unacceptable when the credential can reach production data, administrative APIs, or automated deployment paths without strong contextual checks. At that point, compromise can spread silently and quickly. If revocation is slow or uncertain, the secret is no longer a convenience. It is an exposure window.

Q: Why do NHIs complicate zero trust architecture?

A: NHIs complicate zero trust because many of them authenticate without a person, a device, or an interactive challenge that can be verified in the usual way. Zero trust still applies, but the signals must shift toward workload context, policy enforcement, and short-lived authorization. The model is harder, not optional.

Technical breakdown

Why long-lived machine secrets are structurally risky

Machine credentials often have no user interaction, so they are built for persistence and repeatability. API keys, client credentials, and bearer tokens can work for months or years, which creates a broad window for theft, replay, and lateral use. Unlike human identities, these credentials rarely have strong contextual signals such as device posture or interactive challenge events. That means compromise can blend into normal traffic patterns. When secrets are copied into code, CI/CD systems, or configuration files, revocation becomes a distributed cleanup problem rather than a single control point.

Practical implication: reduce token lifetime and treat every static credential as a revocation liability.

Why machine identity lacks the behavioral signals used in human detection

Human identity monitoring depends heavily on anomalies such as impossible travel, unusual device changes, or abrupt changes in file access. Machine identities do not behave that way. A compromised service account can continue to issue thousands of routine API calls per hour, and those calls may look normal because automation is supposed to be repetitive. That is why detection for NHI compromise needs identity context, workload context, and transaction-level baselines. The core issue is not just authentication strength. It is that identity verification and behavioural detection are often disconnected in machine environments.

Practical implication: add workload-aware telemetry and alert on identity behaviour, not just failed logins.

How ephemeral credentials change the trust model

Ephemeral credentials narrow the window in which a stolen secret remains useful. Instead of relying on a persistent secret, the system issues access that is time-bounded and scoped to a specific task or session. This does not remove the need for identity proofing, policy evaluation, or runtime monitoring. It does, however, reduce the value of credential reuse and lowers the blast radius when compromise occurs. For NHI governance, the important shift is that access decisions move closer to the moment of use, which aligns better with zero trust and zero standing privilege.

Practical implication: pair ephemeral issuance with policy checks and rapid revocation paths.

Threat narrative

Attacker objective: The attacker wants durable, low-noise access through a machine identity that can be reused across systems without triggering normal human-authentication controls.

1. Entry occurs when attackers obtain a long-lived machine secret from code, CI/CD, or another exposed storage location.
2. Escalation follows when the credential is reused to access APIs, service endpoints, or cloud resources at machine speed.
3. Impact comes from silent, routine-looking activity that expands access, exfiltrates data, or enables lateral movement before detection.

Breaches seen in the wild

• Shai Hulud npm malware campaign — Shai Hulud campaign: npm malware exposed secrets on GitHub.
• Salesloft OAuth token breach — hackers stole OAuth tokens to access Salesforce data via Salesloft.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Machine credentials are identities, and the market still behaves as if they are files. That is the central governance error. Once a secret can authenticate, authorize, and be reused across systems, it functions as an identity and should be governed with the same lifecycle discipline as any other identity. Practitioners should treat storage as only one control in a broader identity model.

Ephemeral credentials create a useful reduction in exposure, but they do not solve trust by themselves. Short-lived access reduces replay value and compresses the attacker window, yet the surrounding controls still matter. Policy, context, and revocation speed determine whether ephemeral issuance becomes real risk reduction or just a thinner wrapper around the same weak assumptions. Teams should treat it as a control pattern, not a substitute for governance.

Identity blast radius is now the right metric for machine-credential risk. The question is not how many secrets exist, but how far a single compromised machine identity can travel before being stopped. That framing aligns better with zero trust and zero standing privilege than secret inventory alone. Practitioners should measure scope, lifetime, and reachable privilege together.

Silent misuse is the defining NHI detection problem. Machine identities often behave exactly as designed even when compromised, which makes traditional anomaly logic less reliable. That pushes security programmes toward contextual verification, tighter authorization, and runtime controls that can interrupt an identity mid-stream. The practical conclusion is that prevention and containment must be designed together.

Static secret dependence is becoming a structural liability for agentic and automated environments. As automation expands, the number of identities grows faster than the manual controls around them. That makes legacy secret handling a scaling problem, not just a hygiene issue. Practitioners should move from secret custody to identity governance as the operating model.

From our research:

• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to Ultimate Guide to NHIs.
• 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures.
• A practical next step is to compare your offboarding process with the 52 NHI Breaches Analysis and close the revocation gap before credentials linger for days.

What this signals

Ephemeral credential trust debt: many programmes will adopt short-lived credentials before they have built the ownership, policy, and telemetry needed to govern them. That creates a new operational burden, because access now changes faster than many approval and review processes can keep up. Security leaders should pair any move to ephemeral access with explicit lifecycle ownership and runtime monitoring.

The shift toward machine identities behaving like first-class identities means IAM teams will need to standardise revocation, contextual authorization, and review across both human and non-human populations. The strongest next move is to align those controls with OWASP Non-Human Identity Top 10 and zero trust principles, rather than treating secret management as a separate programme. In practice, that means tightening policy before expanding automation.

As automation grows, the governance problem becomes less about storing secrets safely and more about proving that every credential is still justified at runtime. Teams that can already map reachability, expiry, and revocation will be better positioned to absorb AI agents and service workloads without multiplying privilege. The right signal to watch is whether identity operations are becoming event-driven instead of calendar-driven.

For practitioners

• Classify machine credentials as identities Inventory service accounts, API keys, client credentials, and bearer tokens as governed identities with owners, purpose, scope, and revocation rules.
• Shorten credential lifetime everywhere possible Replace long-lived secrets with ephemeral credentials for workloads and automation paths where task-scoped access is enough.
• Bind access to runtime context Require policy checks that evaluate workload location, posture, and environment before issuing or renewing access.
• Measure identity blast radius Track which APIs, data stores, and admin actions each machine identity can reach so you can prioritise high-risk revocation paths first.

Key takeaways

• Machine credentials should be governed as identities because their reuse, scope, and lifecycle determine real risk.
• Long-lived secrets and weak observability let compromised NHIs stay active long enough to amplify damage.
• Short-lived access helps, but IAM teams still need ownership, policy, and rapid revocation to reduce blast radius.

Key terms

• Machine Credential: A machine credential is a secret or token that allows software to authenticate and act on a system's behalf. In practice this includes API keys, client credentials, bearer tokens, and certificates. These credentials must be governed as identities because they can authorize access, be reused, and create measurable blast radius.
• Non-Human Identity: A non-human identity is any service account, workload, bot, token, certificate, or AI agent that authenticates to digital systems. NHIs often outnumber human identities and frequently operate without interactive login signals, which makes lifecycle control, monitoring, and revocation central to security.
• Identity Blast Radius: Identity blast radius is the amount of access, data, and downstream systems that a compromised identity can reach before it is contained. It is a useful NHI risk measure because a single machine credential may touch many APIs, tenants, or pipelines, making scope more important than raw credential count.
• Ephemeral Credential: An ephemeral credential is a short-lived access token or secret issued for a specific task, session, or runtime context. It reduces replay value and shortens exposure windows, but it still depends on strong policy, monitoring, and rapid revocation to prevent misuse.

Deepen your knowledge

Machine credentials, secret rotation, and identity lifecycle governance are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If your programme is still treating machine access as a secrets problem, it is worth exploring.

This post draws on content published by Beyond Identity: Machine Credentials Are Identities, It's Time to Treat Them That Way. Read the original.