Google Cloud Secret Manager alternatives expose secrets governance gaps

At a glance

What this is: This is a comparison of Google Cloud Secret Manager alternatives, and its key finding is that multi-cloud and mixed-infrastructure teams need broader secrets and access governance than a Google-only secret store can provide.

Why it matters: It matters because IAM, NHI, and PAM programmes fail when secrets storage, privilege control, and audit visibility are split across tools that do not govern the full lifecycle of access.

By the numbers:

• 69% of organisations now have more machine identities than human ones.
• 61% rely on spreadsheets or manual tracking for machine identity management.
• Only 38% have automated certificate lifecycle management in place.

👉 Read StrongDM's comparison of Google Cloud Secret Manager alternatives

Context

Google Cloud Secret Manager is built for storing and controlling secrets inside the Google Cloud ecosystem, but many enterprises now run access across multiple clouds, servers, databases, and Kubernetes clusters. That creates a governance gap where secrets storage is not the same thing as privilege control, lifecycle management, or cross-platform auditability. In practice, the primary keyword here is Google Cloud Secret Manager alternatives, because teams are not just comparing features. They are comparing how far a secrets platform can extend into IAM and PAM control.

The underlying issue is that secrets are only one part of non-human identity governance. API keys, certificates, tokens, and service credentials still need ownership, rotation, offboarding, and access review, and those controls become harder when infrastructure is distributed. For identity teams, the question is whether a secrets tool can support the operating model they already have, or whether it leaves critical access decisions outside governance.

Key questions

Q: How should security teams choose between a cloud secret store and broader access governance?

A: Teams should choose based on whether the problem is only secure storage or also privilege control, lifecycle management, and auditability across multiple systems. If secrets are consumed beyond one cloud, the platform must support governance of retrieval and offboarding as well as storage. Otherwise, the organisation ends up with a vault and an unmanaged access layer.

Q: Why do machine identities make secrets management harder than human access management?

A: Machine identities scale faster, change more often, and are frequently owned by applications rather than people. That makes ownership, rotation, and offboarding harder to standardise. When credentials outnumber human accounts, manual review breaks down and the organisation needs lifecycle controls that work for service accounts, tokens, and certificates.

Q: What do teams get wrong about secrets rotation in multi-cloud environments?

A: They often treat rotation as a standalone hygiene task instead of part of the broader identity lifecycle. Rotation only reduces risk if the organisation also knows where the secret is used, who owns it, and how it will be retired. Without that context, rotation can hide sprawl rather than reduce it.

Q: Should organisations standardise on one secrets platform for all workloads?

A: Only if that platform can govern the full access lifecycle across the environments that matter. Standardisation without coverage can create a false sense of control, especially when applications, pipelines, and administrators operate across several clouds or infrastructure layers. The better test is whether governance stays intact outside the primary cloud.

Technical breakdown

Secrets storage versus access governance

A secrets manager protects credential material at rest, but access governance decides who or what can use that material, under what conditions, and with what audit trail. Those are different layers. Google Cloud Secret Manager focuses on storing and administering secrets within Google Cloud, but enterprise identity programmes often need a control plane that spans SSO, directory services, databases, Kubernetes, and cloud services. When storage and access are separated, teams can secure the vault while still leaving privilege drift and unmanaged retrieval paths in place.

Practical implication: map where secrets are stored, where they are consumed, and where access is actually authorised before standardising on any one platform.

Just-in-time access and temporary privilege

Just-in-time access reduces standing privilege by issuing access only when a task requires it, then removing it after the session or operation completes. That is valuable for NHIs and privileged operators alike, because secrets are often the last persistent element in an otherwise temporary workflow. A platform that supports temporary access is not just a convenience feature. It changes the risk model by reducing how long a credential can be abused if it is exposed or overused.

Practical implication: prefer access patterns that make privilege temporary by default, especially for admin, pipeline, and break-glass workflows.

Lifecycle management for machine identities

Machine identity lifecycle management covers provisioning, rotation, renewal, auditing, and offboarding for service accounts, tokens, keys, and certificates. In mixed environments, this is where many secret tools stop short. If a platform can store a secret but cannot clearly support renewal, segregation, or decommissioning, the identity outlives its business purpose. That creates persistence risk, especially where ownership is unclear and credential use spans multiple systems.

Practical implication: verify whether the platform supports the full lifecycle of machine identities, not just secure storage.

Breaches seen in the wild

• Google Firebase misconfiguration breach — Firebase misconfigurations exposed 19.8M secrets across developer instances.
• 230M AWS environment compromise — 230M AWS environments compromised via exposed .env files with cloud credentials.

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

NHI Mgmt Group analysis

Google Cloud Secret Manager alternatives are really a control-plane question, not a storage question. Once secrets are used across multiple clouds and workloads, the operational problem becomes governance of retrieval, privilege, and audit, not just encryption at rest. That shifts the evaluation away from vault features and toward whether the platform can support IAM and PAM decisions across the real technology stack. The practitioner conclusion is that secrets management without access governance is only half a control.

Service accounts and other machine identities now outnumber humans in many environments, so single-cloud secret models are increasingly too narrow. The scale shift is not cosmetic. When 69% of organisations now have more machine identities than human ones, the operating assumption that one cloud-native vault can mediate all access no longer holds for most enterprise architectures. The practitioner conclusion is to govern secrets as part of the machine identity estate, not as an isolated product category.

Manual tracking is the real failure mode behind secret sprawl. If 61% of organisations still rely on spreadsheets or manual processes, then visibility and ownership are already lagging the growth of secrets and certificates. That is why access reviews, offboarding, and renewal discipline become unreliable as infrastructure scales. The practitioner conclusion is to treat manual tracking as a governance debt, not an administrative preference.

Lifecycle gaps, not storage gaps, create the persistence risk that attackers exploit. Only 38% of organisations have automated certificate lifecycle management, which means expiry, renewal, and decommissioning are still too often handled by exception. That is the condition where stale credentials linger after the business need is gone. The practitioner conclusion is to reframe secrets programmes around expiry, renewal, and ownership, not around vault occupancy alone.

From our research:

• 69% of organisations now have more machine identities than human ones, according to The Critical Gaps in Machine Identity Management report.
• A separate finding from the same research shows that 53% of organisations have experienced a security incident directly related to machine identity management failures.
• For a broader root-cause view, see 52 NHI Breaches Analysis, which connects recurring access failures to real incident patterns.

What this signals

Secrets governance is moving from a product decision to an operating-model decision. When machine identities outnumber humans, the platform question becomes secondary to how ownership, renewal, and revocation are enforced across the estate. Teams that keep secrets isolated from IAM and PAM will continue to miss the failure modes that matter most, especially when access spans cloud and on-premises infrastructure.

Machine identity sprawl turns manual tracking into an exposure multiplier. If a programme still depends on spreadsheets, it will struggle to keep pace with secret rotation, certificate renewal, and application offboarding. For practitioners, the near-term signal is to remove human-dependent control paths before they become the primary source of drift.

Certificate and secret lifecycle management is now a governance benchmark, not an implementation detail. The difference between storage and lifecycle is where many programmes lose assurance. As teams mature, they should align their control design with the OWASP Non-Human Identity Top 10 and the NIST Cybersecurity Framework 2.0 so rotation, visibility, and accountability are treated as one system.

For practitioners

• Inventory secrets by consuming system, not just by vault Build a register that ties each API key, token, certificate, and service credential to its actual workload, application, or operator. Include retrieval path, owner, rotation owner, and offboarding trigger so hidden dependencies are visible before they become incident response work.
• Enforce just-in-time access for privileged secret use Require temporary elevation for administrative retrieval and sensitive operational tasks instead of allowing standing access to secret stores. This is especially important where cloud administrators, DevOps pipelines, and incident responders share the same credential paths.
• Automate rotation and renewal across all machine identities Set rotation schedules for secrets, certificates, and tokens based on business criticality and expiry rather than ad hoc requests. Where renewal is manual, document the exception and assign an explicit owner for the next review cycle.
• Offboard machine credentials with the application lifecycle Tie credential revocation to application retirement, vendor exit, environment teardown, and service account decommissioning. Offboarding should remove access as a governance event, not as a cleanup task that may or may not happen later.

Key takeaways

• Google Cloud Secret Manager alternatives matter because enterprise secrets governance now extends beyond a single cloud and into access control, lifecycle, and auditability.
• The evidence points to a scaling problem, with machine identities now outnumbering human ones and many organisations still relying on manual tracking.
• Practitioners should evaluate secrets platforms by how well they support temporary access, rotation, ownership, and offboarding across the full identity lifecycle.

Key terms

• Machine Identity: A machine identity is any non-human credentialed subject that authenticates to systems, including service accounts, tokens, API keys, and certificates. In practice, these identities often outnumber people and require lifecycle governance for ownership, rotation, and revocation, not just secure storage.
• Secrets Lifecycle Management: Secrets lifecycle management is the discipline of provisioning, rotating, renewing, auditing, and retiring credentials across their full useful life. It matters because a secret that is stored securely but never offboarded still creates exposure once the underlying service, application, or vendor relationship changes.
• Just-in-Time Access: Just-in-time access is a privilege model that grants access only for the time needed to complete a task. For non-human identities and privileged operators, it reduces standing exposure, but only if the organisation can bind the session to a clear owner, purpose, and termination condition.
• Secret Sprawl: Secret sprawl is the uncontrolled spread of credentials across applications, pipelines, clouds, and teams. It becomes a governance problem when no one can reliably answer where a secret lives, who owns it, or when it should be revoked, which makes manual tracking and ad hoc rotation ineffective.

Deepen your knowledge

Secrets lifecycle governance and machine identity control are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are standardising secrets management across multi-cloud infrastructure, it is worth exploring.

This post draws on content published by StrongDM: Google Cloud Secret Manager alternatives and competitors in 2026. Read the original.