TL;DR: Akeyless argues that secrets management decisions hinge on lifecycle governance for tokens, API keys, and certificates, not simply where the data sits, because scale, auditability, integration, and ongoing rotation burden determine whether a custom build can be sustained. The real trade-off is whether the programme can preserve least privilege and operational control without creating brittle bespoke infrastructure.
At a glance
What this is: This analysis weighs build versus buy for secrets management and concludes that lifecycle governance, scalability, auditability, and integration drive the decision more than storage alone.
Why it matters: It matters because IAM, PAM, and NHI programmes fail when secrets governance is treated as a tooling choice instead of a lifecycle control problem.
👉 Read Akeyless's analysis of secrets management build-versus-buy trade-offs
Context
Secrets management is the discipline of controlling sensitive credentials across their full lifecycle, including authentication tokens, API keys, and encryption certificates. The governance gap is not storage alone, but whether an organisation can keep those secrets rotated, auditable, and tied to least-privilege access as environments spread across cloud and on-premises systems.
The build-versus-buy question appears when teams discover that secrets management is operational infrastructure, not a side feature. Once a platform must support integration, uptime, compliance evidence, and rapid incident response, the decision stops being about preference and becomes about whether the programme can sustain the control model it needs.
Key questions
Q: How should security teams decide whether to build or buy secrets management?
A: Decide based on who will own rotation, revocation, logging, patching, and incident response after deployment. Build only when the organisation can sustain that operational burden at scale. Buy when the main requirement is dependable lifecycle control across many environments, but only if integrations and offboarding are under governance, not left to vendor defaults.
Q: Why do secrets management decisions become riskier in hybrid or multi-cloud environments?
A: Secrets tools that assume one cloud often create friction once workloads move across clouds, on-premises systems, or local development. Access can depend on cloud-specific credentials, SDKs, and policy models, which increases operational overhead and widens the chance of misconfiguration. Teams should prefer tools that match their deployment footprint and avoid forcing every environment into one provider’s control plane.
Q: What are the signs that secrets management has become too fragmented for effective control?
A: Common warning signs include duplicated secret stores, inconsistent access rules, limited visibility into changes, and teams using different tools for the same operational workflow. Fragmentation also shows up when audits depend on manual evidence gathering or when users must authenticate to multiple managers. At that point, governance is no longer centralised enough to support reliable control.
Q: What should teams do when custom secrets tooling starts creating support debt?
A: Treat support debt as a governance issue, not just an engineering inconvenience. If patching, uptime, on-call coverage, and documentation are consuming security resources, the platform is behaving like a critical service without the operating model to match.
Technical breakdown
Why secrets lifecycle control is harder than secret storage
Secrets management is not a vaulting problem alone. The system has to issue, rotate, revoke, audit, and integrate credentials used by applications, services, and CI/CD pipelines, often across hybrid and multi-cloud estates. That makes lifecycle consistency the real security requirement. If rotation, access logging, and policy enforcement are distributed across teams or environments, the organisation loses a coherent view of who or what can still use a credential. The governance challenge is therefore about control continuity, not merely encrypted storage.
Practical implication: design secrets governance around lifecycle events and auditability, not around where secrets are stored.
What changes when secrets management becomes platform infrastructure
A secrets platform has to behave like operational infrastructure because applications depend on it continuously. That means uptime expectations, change management, monitoring, support processes, and failure handling all become part of the security story. Custom-built systems often absorb hidden cost in maintenance, while commercial systems trade flexibility for predefined operational patterns. The key architectural question is whether the team can sustain patching, scale, and support without letting the control plane itself become fragile.
Practical implication: assess whether your organisation can run secrets management as a 24x7 control service before choosing to build.
How integration and compliance shape the build-versus-buy decision
Secrets management rarely sits alone. It must connect with IAM policy, developer tooling, cloud platforms, and monitoring, while also producing evidence for compliance frameworks such as GDPR, HIPAA, PCI-DSS, SOC 2, and ISO 27001 where relevant. That creates a governance burden that extends beyond engineering. A custom build may fit unusual workflows, but it also makes the organisation responsible for proving that access control, rotation, logging, and transmission safeguards are working consistently across environments.
Practical implication: weigh integration depth and compliance evidence as first-order requirements, not post-selection adjustments.
Threat narrative
Attacker objective: The attacker aims to abuse unmanaged secrets to gain durable access to applications, infrastructure, or sensitive data flows.
- Entry occurs when developers and services rely on secrets that are not centrally governed across environments, creating a broad credential surface.
- Credential access is amplified when tokens, API keys, or certificates are not rotated, revoked, or audited with enough consistency to limit reuse.
- Impact follows when exposed or stale secrets enable unauthorised access, service compromise, or difficult-to-contain operational disruption.
Breaches seen in the wild
- Rabbit R1 hard-coded API keys 2024: Rabbit R1 source code leaked by an employee held working ElevenLabs, Azure, Yelp and Google Maps API keys; an email key was misused, Rabbit says.
- Hugging Face Spaces breach 2024: Unauthorised access to Hugging Face Spaces may have exposed secrets users stored for AI apps; tokens were revoked and org tokens removed.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Secrets management is a lifecycle governance problem, not a storage problem. The article’s core tension is whether organisations can continuously control issuance, rotation, revocation, and audit across tokens, API keys, and certificates. That is the part many build decisions underestimate. If the control model cannot survive lifecycle pressure, the storage layer is beside the point.
The hidden cost in custom secrets platforms is operational accountability. A bespoke system must do more than work on day one. It has to absorb uptime expectations, patching, support, logging, and incident response without becoming another brittle dependency. The more widely secrets are used across cloud and hybrid estates, the faster that operational burden grows. Practitioners should treat supportability as part of the security design.
Centralised secrets management is now a governance baseline for distributed estates. Once applications span multiple clouds, bare metal, and CI/CD pipelines, fragmented handling creates inconsistent policy enforcement and weakens auditability. The issue is not whether teams can still store secrets. The issue is whether they can prove consistent control over who can use them, when they can use them, and how quickly they can be withdrawn.
Build versus buy is really a question about control-plane ownership. Building can fit specialised workflows, but it also moves the burden of compliance evidence, integrations, and lifecycle discipline in-house. Buying can compress delivery time, but only if the platform does not become another isolated silo. Practitioners should judge the decision by governance durability, not by implementation preference.
Ephemeral credential trust debt: secrets that live longer than the business process they protect create accumulated exposure that no single rotation event fully eliminates. That debt grows when access controls, audit trails, and revocation paths are inconsistent across environments. The practical conclusion is that secrets strategy has to minimise standing trust, not merely centralise it.
From our research library:
- Companies are dedicating an average of 32.4% of their security budgets to secrets management and code security, with US organisations leading at 40.8%, according to the State of Secrets in AppSec.
- Secrets management is a top five cybersecurity priority for only 33% of organisations, behind cloud security (45%), API security (42%), and endpoint security (36%), according to the 2024 State of Secrets Management Survey.
- Read next: Guide to the Secret Sprawl Challenge
What this signals
Secrets management programmes fail when organisations treat them as storage projects rather than lifecycle control systems. The control has to follow issuance, rotation, revocation, and audit across cloud, hybrid, and CI/CD estates, or governance fragments quickly.
Ephemeral credential trust debt: when credentials outlive the business process they protect, exposure accumulates across environments and teams. That is why the real programme question is whether standing access can be reduced before scale turns exceptions into architecture.
For practitioners
- Assess lifecycle control before platform choice Map whether the current programme can issue, rotate, revoke, and audit secrets consistently across applications, cloud services, and CI/CD pipelines before deciding to build or buy.
- Quantify operational support burden Estimate the on-call, patching, documentation, and incident-response load required to run a bespoke secrets platform at production reliability.
- Prioritise integration with IAM and developer tooling Check that the candidate approach can connect to existing IAM policy, build pipelines, container platforms, and monitoring without creating a parallel control plane.
- Enforce least privilege on every secret path Limit which services, pipelines, and operators can retrieve each secret, and verify that the access scope matches the minimum required for runtime use.
- Test auditability across environments Validate that logs and evidence remain complete when secrets move between multi-cloud, hybrid, and bare-metal systems, because fragmented estates often break traceability.
Key takeaways
- Secrets management is a governance discipline that has to cover the full lifecycle of credentials, not just their storage.
- Build-versus-buy decisions should be judged by scalability, auditability, integration depth, and the cost of ongoing operational support.
- The strongest programmes minimise standing trust and can prove who can use each secret, when, and under what controls.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and MITRE ATT&CK address the attack and risk surface, while NIST SP 800-53 Rev 5 sets the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 — Secret Leakage | The article centres on protecting tokens, API keys, and certificates from exposure. |
| NHI-07 — Long-Lived Secrets | Build-versus-buy trade-offs hinge on whether long-lived secrets can be rotated and retired reliably. | |
| NHI-05 — Overprivileged NHI | Least privilege is a central best practice in the article’s implementation guidance. | |
| Recommendation — Scan and govern secret exposure paths so leaked credentials can be revoked before reuse. Replace long-lived credentials with lifecycle controls that enforce rotation and revocation. Limit each secret to the minimum access scope needed by the workload or pipeline. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | The article discusses rotation, revocation, and lifecycle management of authenticators. |
| Recommendation — Apply authenticator management controls to govern secret issuance, rotation, and retirement. | ||
| MITRE ATT&CK | TA0006 — Credential Access | Exposed or stale secrets create the initial credential access path for abuse. |
| Recommendation — Map secret exposure risks to credential access and prioritise high-value credential paths. | ||
Key terms
- Secrets Management: The discipline of securely storing, distributing, rotating, and auditing secrets across an organisation's systems and pipelines, typically implemented via a centralised secrets vault such as HashiCorp Vault, AWS Secrets Manager, or Akeyless.
- Credential Lifecycle: Credential lifecycle is the process of issuing, rotating, expiring, and revoking secrets, certificates, and tokens across their usable life. For non-human identities, lifecycle discipline is the core control that separates temporary access from persistent exposure.
- Least Privilege: A security principle requiring that every identity, human or non-human, is granted only the minimum permissions necessary to perform its function. Least privilege is the single most effective control for reducing NHI blast radius.
- Hybrid Environment: A hybrid environment combines on-premises systems with cloud services, often alongside multiple identity and data control planes. Governance becomes harder because visibility, policy enforcement, and evidence collection are split across different operational domains, making unified access analysis more difficult.
What's in the full article
Akeyless's full article covers the operational detail this post intentionally leaves for the source:
- Step-by-step build-versus-buy considerations for organisations with specialised workflows
- Detailed trade-offs across compliance, scalability, and integration for hybrid estates
- Commercial solution evaluation criteria including support burden and long-term maintenance
- Practical examples of how secrets management fits into broader infrastructure choices
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 building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on August 17, 2026.
Updated on October 8, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org