October 15, 2026
Secrets sprawl grows when enterprises add applications and access requirements without consistently updating how credentials are distributed and retired. Acquisitions introduce separate secrets stores, while deployment workflows create additional copies of credentials. As ownership and access policies diverge, security teams struggle to determine which credentials remain necessary and how to revoke them safely.
Constant Contact faced this problem as it unified operations following a spinoff and acquisitions. Its mix of legacy tools and homegrown processes made it difficult to account for credentials across the business. Manual management added operational delays as the company moved toward cloud and containerized infrastructure. Akeyless’s Constant Contact case study describes the challenge of bringing those practices together.
For enterprise security and platform leaders, this is a familiar consequence of growth. Applications must keep running while ownership changes and infrastructure evolves. Enterprise secrets management challenges emerge when credentials continue to support those applications without an equally consistent process for governing their access.
Enterprise Secrets Management Challenges Grow with the Business
Acquisitions Bring Existing Credential Practices
An acquired application comes with an established way of accessing its dependencies. Bringing the application into the enterprise does not automatically bring its credentials under the parent company’s policies.
Some teams may use cloud-native secrets managers while others maintain credentials through deployment tools or scripts. Each approach can have different permissions and rotation procedures. Security teams must reconcile those differences while application owners work to preserve service continuity.
Constant Contact’s experience illustrates why this coordination matters: unifying secrets management followed changes in the business itself. An enterprise-wide approach must accommodate inherited systems while establishing clear ownership for the access they retain.
Delivery Workflows Create More Places to Look
A credential may begin in an approved store and then be copied into a CI/CD variable so a deployment can authenticate. If another application needs the same access, copying the value again creates another dependency that must be updated when it changes.
Local development adds further exposure locations. Credentials can remain in .env files or shell history; troubleshooting can put them into logs and support tickets. Removing a secret from the latest source-code version also leaves earlier Git commits to consider.
Akeyless’s definitive guide to managing secrets and non-human identities identifies hardcoded credentials and sharing across systems as recurring problems. The enterprise challenge is tracing those credentials beyond their original storage location and maintaining control as they move through delivery workflows.
Temporary Workloads Can Leave Persistent Access
A short-lived workload does not necessarily use a short-lived credential. A temporary test environment can rely on an API key that remains valid after the environment is removed. Unless decommissioning includes the credential’s lifecycle, access can survive its original purpose.
AI integrations add to this challenge when credentials are placed in agent configuration or supplied to MCP servers. Each integration introduces another access relationship to govern. Reusing a broadly privileged key across integrations makes it harder to isolate an individual consumer or retire its access independently.
The guide’s workload-identity discussion provides a useful direction: authenticate supported workloads through verifiable identity and time-limited access. This reduces the persistent credentials teams need to distribute as compute environments change.
A Recent Incident Shows Why Credential Copies Matter
The April 2026 Vercel incident shows how access to a development platform can put credentials for other services at risk. According to Vercel’s incident disclosure, a compromise at an employee-used AI service gave the attacker a route into Vercel. The intrusion exposed customer environment-variable values outside the platform’s sensitive-variable protection, prompting Vercel to contact affected customers about rotating credentials.
For affected customers, shutting down a project would leave a separate problem unresolved: an attacker could still hold valid credentials for the systems that project accessed. Vercel therefore instructed customers to rotate exposed credentials before deleting projects or accounts.
For enterprise teams, the lesson extends to any deployment platform holding reusable credentials. Containing access to that platform is only part of the response. Teams also need to identify the systems the exposed credentials unlock and replace them without interrupting legitimate applications.
Where Legacy Secrets Management Tools Leave Security Blind Spots
Storage Coverage Does Not Establish Lifecycle Coverage
A secrets store can enforce access policies for the values it holds. Those controls do not automatically follow a credential copied into another system, and its retrieval logs do not necessarily show subsequent activity at the target service.
These are important secrets management limitations to evaluate. Teams need to know which copies are managed and where direct access remains possible. During an investigation, target-system logs help establish what a credential was used to do after retrieval.
Difficult Onboarding Leaves Gaps in Adoption
A standard secrets platform only provides consistent coverage when teams can integrate it into their applications. If onboarding requires extensive custom work, existing credential practices can remain in place while migration or integration is deferred.
The Cimpress case study connects difficult onboarding with the reach of a secrets-management program. Teams had struggled to adopt the previous solution; after moving to Akeyless, Cimpress reported 270% higher adoption. That experience makes usability relevant to enterprise security: a platform’s capabilities need to become working controls across the applications it is meant to protect.
Self-managed deployments add platform maintenance responsibilities, which can compete with onboarding work. That overhead applies specifically to self-managed infrastructure; integration and adoption challenges can affect any deployment model.
What Reduces Secrets Sprawl at Enterprise Scale
Establish Ownership Across Existing Stores
Build an inventory that connects each credential to its responsible team and consuming applications. Extend discovery to locations outside approved stores, and reconcile findings with the accounts or services that issue the credentials.
Prioritize exposed credentials with production access. Before retiring apparently unused access, check for infrequent consumers such as scheduled jobs. Ownership makes these decisions actionable because someone can confirm the business requirement and coordinate the change.
Make Approved Access Easier to Use
Provide supported retrieval patterns within application templates and CI/CD workflows. When developers can obtain authorized access through their normal tools, they have less reason to exchange credential values manually.
Keep development and production access separate. Reuse integration patterns across environments, while assigning distinct credentials or identities with appropriate permissions. Add automated checks for accidental commits before code reaches shared repositories, with ongoing scanning to detect exposures that pass those checks.
Reduce Persistent Credentials Where Supported
Use workload identity to authenticate applications to supported services or secrets platforms. Where the target supports it, issue dynamic credentials with a defined lifetime and permissions limited to the required work.
Dynamic access reduces the need for reusable keys, but expiry does not make permissions irrelevant. A short-lived credential can still be misused while valid. Protect the issuing mechanism and verify that revocation works as expected at the target.
For AI agents, prefer supported access patterns that keep credentials outside the agent’s context. Credential protection should accompany authorization for the systems and actions the agent needs.
Test Rotation Through to the Application
Where persistent credentials remain necessary, automate rotation at the target system and make the replacement available to authorized consumers. Verify that applications actually refresh their credentials rather than continuing to use cached values.
Include this behavior in onboarding tests. A rotation process should reveal failed refreshes and define recovery steps before it is needed during an incident. Otherwise, uncertainty about application impact can delay revocation when exposed credentials need immediate attention.
Where Enterprise Teams Should Start
Choose an application group with meaningful production access and use it to establish a repeatable process:
- Account for its access. Identify the credentials it consumes, including copies outside approved stores.
- Assign responsibility. Give each credential an owner who can approve changes and confirm dependencies.
- Remove avoidable persistence. Replace reusable keys with supported identity-based or dynamic access.
- Verify retirement. Confirm that old credentials stop working after replacement or decommissioning.
Track unresolved exposure alongside adoption. More discovered credentials can initially reflect better visibility; progress comes from reducing unmanaged access and ensuring new applications inherit a workable process.
How Akeyless Solves This
Enterprises with established secrets stores need to improve governance while applications continue operating. Akeyless Multi Vault Governance connects supported external stores so teams can manage access through Akeyless and centralize audit records for governed operations without first migrating those secrets. Requests that reach a backend directly still need appropriate native permissions and audit coverage.
As teams standardize application access, Akeyless dynamic secrets provide temporary credentials for supported targets. For persistent accounts, automated rotation changes the password at the target and stores the updated value for retrieval. Applications need a tested refresh process to complete that lifecycle. Together, these approaches let teams address existing fragmentation while reducing the manual credential handling that contributes to new sprawl.
To reduce credentials embedded in source code, teams can configure jobs to retrieve values when they run. For example, the Akeyless Jenkins plugin supplies secrets to a defined pipeline block, allowing the job definition to reference a secret without containing its value. Teams still need to prevent jobs from writing those values into build artifacts and scan for existing exposures. Previously leaked credentials must be rotated or revoked; changing how a job retrieves them does not invalidate old copies.
Book an Akeyless demo to explore governance across your existing stores and identify where dynamic access or automated rotation fits your applications.
Frequently Asked Questions
What is the difference between secrets sprawl and having many secrets?
Secrets sprawl means credentials are distributed without sufficient visibility or lifecycle control. An enterprise can manage a large credential inventory effectively when ownership and access are governed; a smaller collection of shared, untracked keys can be harder to secure.
Does a secrets manager protect credentials copied into other tools?
A secrets manager governs the operations and storage within its coverage. A copied credential also depends on the destination’s controls, and deleting that copy does not revoke its access at the issuing service.
How can enterprises reduce secrets sprawl without migrating every vault?
Enterprises can connect supported stores to centralized governance and standardize how applications access them. They also need to address unmanaged copies and direct backend permissions, because connecting a store does not automatically govern every access path.
How do AI agents add to secrets management challenges?
Agent integrations can introduce credentials into additional configurations and tool connections. Assign distinct identities with narrowly scoped access, and use supported credential-brokering patterns to keep secrets out of the agent’s context.
