September 15, 2026
Quick answer Secrets management at large enterprises often breaks down when teams have to manage a growing number of credentials across systems with different access policies and rotation processes. As applications spread across cloud and on-premises environments, keeping those controls consistent takes more manual effort, and no single team has a complete view of what needs attention. Rotation gets postponed because application dependencies are unclear, while developers waiting on access find their own ways to keep deployments moving.
Why Enterprise Secrets Management Breaks at Scale
As enterprise teams build applications, they often adopt the secrets tools that fit their immediate needs, whether that means a cloud provider’s secret store or credentials managed within a CI/CD platform. Over time, these decisions leave the organization with multiple stores governed by different access policies and rotation processes. This vault sprawl makes it harder for security teams to track access across the business and adds to the work of keeping credentials current, with infrastructure maintenance adding another burden wherever vaults are self-managed.
Visibility and Governance
- No complete inventory Secrets sit in vaults, cloud stores, code, pipelines, configuration files, and local tools, with no reliable enterprise-wide view.
- Unclear ownership Teams cannot safely remove or rotate a credential when no one knows which application depends on it.
- Vault sprawl and fragmented policy Multiple vaults and cloud-native secret stores create fragmented visibility, inconsistent access policies, separate audit trails, and duplicated administration.
Credential Lifecycle
- Long-lived credentials Reusable API keys, passwords, and tokens stay valid far longer than the task or workload requires.
- Manual rotation Rotation is delayed or incomplete because teams must update the vault, the target system, and every consuming application without causing an outage.
- Weak revocation Orphaned service accounts and unused secrets remain active because offboarding and decommissioning are not tied to the credential lifecycle.
Operations and Adoption
- Infrastructure overhead Every additional cluster or region adds capacity planning, high availability, recovery testing, patching, monitoring, and upgrade work.
- Poor integration Custom scripts and manual approvals make the secure path slower than the workaround developers already use.
- Scaling costs Peak capacity, duplicated infrastructure, specialist staffing, and repeated administration increase the full cost of running the program.
The on-demand Akeyless vs Legacy Platforms webinar shows how these issues appear in practice and demonstrates dynamic credentials, automated rotation, gateway deployment, and migration workflows.
What Modern Teams Should Address First
Start with the gaps in your current environment and a small group of developers who can test the changes in real workflows. Use what you learn to expand adoption, without waiting for every vault to be replaced or every application to be rewritten.
1 Find Secrets and Establish Ownership
Discover where credentials are stored and which applications depend on them. Work with application owners to remove exposed or unused credentials and narrow excessive permissions, checking dependencies before revoking access. This gives teams a reliable starting point for remediation.
2 Unify Governance and Automate Workflows
Apply consistent access policies across supported secret stores and integrate secret retrieval into existing CI/CD and application workflows. Automate routine access under those policies, with approvals where needed, and automate rotation for credentials that remain static. Start with the pilot group so developers can validate that the approved workflow fits how they deploy and operate applications.
3 Replace Long-Lived Credentials With Identity-Based Access
Use verifiable workload identities to request short-lived credentials for supported systems, reducing the credentials teams must store and maintain. Test issuance and expiry with the consuming applications before expanding the rollout. Preserve audit records that tie credential requests to the requesting identity, and use automated rotation where temporary credentials are not yet practical.
The Secrets Management Maturity Model
The official Akeyless Secrets Management Maturity Model defines four stages. It gives teams a practical way to identify their current operating model and the next improvement to prioritize.
| Maturity Stage | What It Looks Like | Next Move |
|---|---|---|
| Stage 1 Ad Hoc and Manual | Secrets are hardcoded, shared in plaintext, or scattered across systems. Visibility and policy enforcement are limited. | Discover secrets, remove exposed values, and establish ownership. |
| Stage 2 Siloed Vaulting | Teams use vaults, but access remains manual and practices vary across tools and environments. | Connect the silos and standardize policy, rotation, and audit records. |
| Stage 3 Unified and Automated | Secrets are managed across environments with policy-based access, automation, and versioning. | Expand dynamic credentials and reduce standing privilege. |
| Stage 4 Secretless and Zero Knowledge | Applications authenticate by identity and receive temporary credentials when needed. Distributed encryption protects key material. | Extend identity-based access and reduce remaining static-secret exceptions. |
The Secrets at Risk webinar explains how organizations move through these stages as they address secret sprawl, inconsistent controls, and operational overhead.
How Akeyless Solves This
Akeyless helps teams reduce that manual work by moving toward identity-based access and credentials issued only when needed. Workloads authenticate using identities they already have, such as cloud IAM or Kubernetes service accounts, and request short-lived credentials for supported systems. Where applications still need persistent credentials, Akeyless automates rotation and can update connected secret stores so teams do not have to coordinate every password change themselves.
That transition can start with the secrets platforms already in place. Multi Vault Governance connects supported stores, including AWS Secrets Manager, Azure Key Vault, Google Cloud Secret Manager, and HashiCorp Vault, while leaving secrets in their existing locations. Security teams can apply common access policies and audit operations routed through Akeyless, allowing them to improve governance without making a full migration the first requirement.
For teams consolidating on Akeyless, its SaaS-based architecture reduces the burden of running secrets infrastructure, with lightweight Gateways deployed within their cloud or on-premises environments. Distributed Fragments Cryptography supports this model without reconstructing the original encryption key. With a customer-held fragment, Akeyless cannot independently decrypt the secrets protected by that key, giving enterprises control over decryption while using a managed service.
Watch the Akeyless vs Legacy Platforms demo to see how these workflows reduce the work of managing credentials across enterprise environments.
Frequently Asked Questions
What is vault sprawl, and how does it affect enterprise security?
Vault sprawl is the proliferation of separately managed vaults and secret stores across an organization. Each may protect its own secrets, but differences in access policies and audit records make it difficult to enforce enterprise-wide controls. During an incident, that fragmentation makes it harder to identify every affected credential and coordinate its revocation.
Why is automated secret rotation not enough?
Automated rotation limits how long a credential remains unchanged, but it does not resolve excessive permissions or unknown application dependencies. A rotated credential can still grant more access than a workload needs, and unmanaged copies can remain elsewhere. Effective credential management combines rotation with clear ownership and least-privilege access, using short-lived credentials where supported.
How can enterprises improve secrets management without replacing every vault?
Enterprises can start by identifying their secret stores and establishing common access and lifecycle policies across supported platforms. Multi Vault Governance allows teams to retain existing stores while applying centralized access controls and audit logging to operations routed through Akeyless. This provides a way to improve governance incrementally while deciding which systems to retain or migrate. Explore Multi Vault Governance
What should teams prioritize when scaling secrets management?
Start by finding unmanaged credentials and identifying the applications that depend on them, so remediation does not interrupt production. Then integrate policy-based access and automated rotation into the workflows developers already use, piloting changes with a small team before expanding. Move supported workloads toward identity-based authentication and temporary credentials to reduce reliance on stored, long-lived secrets. Akeyless Secrets Management Maturity Model
