Identity secret sprawl is exposing NHI governance gaps

At a glance

What this is: This is an analysis of identity secret sprawl and how shared machine credentials create hidden NHI risk across development and production environments.

Why it matters: It matters because IAM, PAM, and NHI programmes still fail when credentials are shared, copied, and left to sprawl faster than lifecycle controls can contain them.

By the numbers:

• Today’s companies manage 20-45 times more shared secrets for machines than they do for humans.
• Half of the organizations surveyed by the ESG expect their total number to increase by more than 20% over the next 12 months.

👉 Read Defakto Security's analysis of identity secret sprawl and NHI risk

Context

Identity secret sprawl is what happens when the same shared credential is copied across code, test, production, and supporting tools until no one can state with confidence where it lives or who can still use it. In NHI programmes, that creates a governance problem, not just a technical one, because the credential lifecycle is no longer visible or controllable.

The article’s core point is that machine authentication still depends on long-lived shared secrets in too many environments, even where secrets managers exist. That means the real control failure is lifecycle discipline, because unmanaged secrets defeat visibility, rotation, offboarding, and accountability before an incident even starts.

Key questions

Q: What breaks when shared secrets are copied across development and production systems?

A: Governance breaks first. Once a secret is duplicated across repositories, pipelines, and environments, teams lose confidence in where it lives, who can use it, and which copy is still active. That makes rotation slower, incident response harder, and offboarding incomplete. The result is an identity control problem disguised as a configuration issue.

Q: Why do shared machine secrets increase breach risk so much?

A: Because the secret itself becomes the proof of identity. If attackers steal or replay it, they can often access systems as a legitimate workload without needing to defeat another layer of authentication. That creates a large blast radius, especially when the same credential reaches production databases, cloud services, or SaaS integrations.

Q: How do security teams know when secret sprawl is becoming unmanageable?

A: When they cannot confidently answer where each secret exists, which workloads depend on it, and how quickly it can be retired without breaking business services. If the answer requires manual archaeology across code, tickets, and pipelines, the sprawl is already beyond routine control.

Q: Should organisations replace shared secrets with workload identity?

A: Yes, where the environment and platform support it. Shared secrets create copy risk and lifecycle uncertainty, while workload identity reduces reliance on reusable credential material. The right goal is to remove standing shared secrets from the most critical systems first, then expand the model as platforms mature.

Technical breakdown

Why shared secrets sprawl across development lifecycles

Shared secrets spread because software teams optimise first for functionality, then later for security, operations, and audit. A credential begins in one environment, then gets copied into staging, debug tooling, local workstations, CI/CD jobs, or configuration files. Each copy creates a new trust boundary that is hard to track. Secrets managers help centralise storage, but they do not stop developers from duplicating credentials into places that are easy to reach during build and test. The result is not just exposure risk, but uncertainty about which systems still depend on the secret and what would break if it were removed.

Practical implication: map secret placement across code, pipelines, and environments before trying to rotate or retire anything.

Why shared secret authentication fails as an identity model

Shared secrets are a weak identity model because the service cannot distinguish who is presenting the credential, only whether the value matches. That makes the secret itself the identity proof, which is fragile when the same value must be reused across multiple systems or copied into multiple places. Once exposed, the secret can be replayed by an attacker without changing the underlying trust relationship. This is why workload identity standards such as SPIFFE matter in modern NHI design. They replace copied secret material with verifiable identity assertions that are easier to govern across services and deployment stages.

Practical implication: prefer workload identity and verifiable assertions over any design that depends on a reusable shared credential.

Why rotation alone does not solve secret sprawl

Rotation reduces exposure window, but it does not remove the structural problem that the secret exists in many places at once. If a credential is embedded in code, attached to a pipeline, or distributed across customers and devices, rotation becomes operationally expensive and error-prone. The article’s Snowflake example shows why this matters: once credentials are stolen or exposed, remediation can be too slow to stop downstream use. In practice, the more copies a secret has, the less effective manual recovery becomes, and the more likely teams are to accept residual risk instead of eliminating the secret altogether.

Practical implication: treat rotation as containment, not as the end state, and prioritise removing shared secrets from architecture.

Threat narrative

Attacker objective: The attacker wants legitimate-looking access to systems and data by reusing a secret that the organisation never fully controlled.

1. Entry occurs when shared secrets are exposed in code repositories, developer workstations, CI/CD systems, or other writable locations that attackers can inspect or steal.
2. Escalation follows when a stolen credential is replayed as legitimate access to databases, cloud services, or SaaS platforms without any separate proof of actor context.
3. Impact occurs when the attacker uses that access to read, exfiltrate, or sell data, while defenders struggle to determine which copies of the secret remain active.

Breaches seen in the wild

• MongoBleed breach — MongoBleed exposed secrets across 87K MongoDB servers.
• IOS app secrets leakage report — iOS apps leaking hardcoded secrets and credentials endangering user privacy.

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

NHI Mgmt Group analysis

Shared secret sprawl is really identity sprawl without governance. Once a credential is copied into multiple files, environments, and tools, the organisation no longer governs one secret. It is governing an unknown number of live replicas, each with different exposure and owner assumptions. That is why secret sprawl is an identity lifecycle problem, not a storage problem. Practitioners need to treat every duplicate as a separate governance event, because the risk is created by distribution, not only by disclosure.

Identity does not need to be shared to be usable: the article exposes a broken premise in legacy NHI design, namely that workload authentication must rely on reusable secrets. That assumption was designed for systems where a credential could be copied and still remain manageable. It fails when modern development, CI/CD, and service-to-service traffic create uncontrolled replication and replay paths. The implication is not just better secret hygiene, but a rethink of the credential model itself.

Secret rotation is not a governance strategy when the secret has become infrastructure. The article’s examples show that a secret copied into many runtime paths becomes a dependency, not an asset. At that point, rotation can break services, delay recovery, and conceal the true blast radius. Governance should therefore focus on eliminating standing shared credentials where possible and on proving where secrets live when they cannot yet be removed. Practitioners should measure how much of their estate still depends on copyable secrets.

Compliance evidence is stronger when the architecture removes the audit burden. A system that can demonstrate workload identity, lifecycle control, and precise access logs creates better auditability than a system that relies on manual secret inventories. That is the practical bridge between NHI governance and broader identity programmes. When machine access is designed around proofable identity rather than hidden shared values, IAM, PAM, and security teams can align on a control model that is actually inspectable. Practitioners should build for evidentiary clarity, not after-the-fact forensics.

From our research:

• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, according to Ultimate Guide to NHIs.
• Only 5.7% of organisations have full visibility into their service accounts, which shows how quickly hidden NHI dependencies outgrow manual governance.
• For the lifecycle angle, review NHI Lifecycle Management Guide for provisioning, rotation, and offboarding patterns that reduce secret persistence.

What this signals

Secret sprawl is the symptom of a wider identity lifecycle gap. When machine credentials are copied into code and pipelines, the organisation loses the ability to prove inventory, ownership, and offboarding. That is why NHI programmes need lifecycle controls first, then storage controls, rather than the other way around.

With 92% of organisations exposing NHIs to third parties, the externalisation of trust is already part of the problem space. Teams that rely on copied shared credentials are extending that exposure without clean accountability boundaries.

Identity-first infrastructure becomes the operational marker for maturity when teams can remove copied secrets from the critical path and keep audit evidence intact. Practitioners should watch for environments where service accounts still depend on manual secret handling, because those are the places where hidden operational debt will surface first.

For practitioners

• Inventory every shared machine secret Scan code repositories, CI/CD pipelines, developer workstations, configuration stores, and monitoring jobs to locate every copy of each credential. Build the inventory around actual secret placements, not the systems teams believe are in use.
• Rank secrets by blast radius, not by age Prioritise credentials that unlock production data, administrative control, or third-party integrations. A secret used in many systems is more urgent than an older secret that is tightly contained.
• Replace reusable secrets with workload identity where feasible For new services and high-value integrations, move toward verifiable workload identity so the application proves who it is without relying on a copied shared secret.
• Tie secret offboarding to system change events Retire credentials when services are decommissioned, vendors change, environments are rebuilt, or application ownership moves. Offboarding has to be a lifecycle action, not an exception handled later.

Key takeaways

• Secret sprawl turns one credential into many untracked trust points, which is why it becomes a governance problem as much as a breach risk.
• The scale is already material, with machine secrets vastly outnumbering human secrets and many organisations unable to see them all.
• The practical response is to shrink the number of reusable secrets, move high-value workloads to verifiable identity, and tie offboarding to system change events.

Key terms

• Secret Sprawl: Secret sprawl is the uncontrolled spread of shared credentials across code, pipelines, devices, and environments. It becomes an identity governance problem because each copy increases exposure, weakens ownership, and makes revocation or rotation harder to execute cleanly.
• Workload Identity: Workload identity is a cryptographically verifiable identity assigned to a machine, service, or application so it can authenticate without shared secrets. It shifts trust from copied credential material to proof that the workload is the one expected to connect.
• Shared Secret: A shared secret is a reusable credential known by both the client and the service, such as an API key or token. It works only while the holder keeps it private, which makes distribution, storage, and offboarding the main security failures.
• Lifecycle Offboarding: Lifecycle offboarding is the controlled removal of access when a system, integration, vendor relationship, or workload is retired. For NHI, it is the point where lingering secrets should be revoked, replaced, or invalidated before they become persistent attack paths.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.

This post draws on content published by Defakto Security: Identity Secret Sprawl: Understand It To Reduce Your Risk. Read the original.