Secrets management can cut breach costs and reduce NHI exposure

At a glance

What this is: This is a vendor blog arguing that better secrets management lowers cybersecurity cost by reducing breach likelihood, manual effort, and compliance exposure.

Why it matters: It matters because IAM, NHI, and PAM teams all have to govern long-lived credentials, auditability, and privilege scope, not just storage of secrets.

By the numbers:

• The global average cost of a data breach in 2023 was $4.45 million, a significant 15% increase compared to three years ago.
• Stolen or compromised credentials were responsible for 15% of breaches, making them the second biggest root cause.

👉 Read Entro Security's blog on how good secrets management reduces cybersecurity costs

Context

Secrets management is the discipline of controlling credentials, tokens, API keys, and certificates so they are not left exposed, overused, or impossible to audit. The article argues that cost control and risk reduction are the same problem here, because leaked secrets create both direct breach expense and ongoing operational drag across NHI and cloud estates.

For identity programmes, the real issue is not secret storage alone. It is whether service accounts, application tokens, and other non-human identities can be discovered, rotated, scoped, and monitored fast enough to keep pace with cloud, CI/CD, and collaboration workflows.

The article is typical of vendor thought leadership in one respect: it frames financial savings as the practical entry point for a security conversation that is really about governance maturity. The underlying control gap is broader than any single vault or rotation feature.

Key questions

Q: How should security teams reduce the risk of exposed secrets in cloud environments?

A: Start by inventorying where secrets exist, then remove unnecessary standing credentials, shorten lifetime where possible, and enforce usage logging. The goal is not just storage in a vault. It is to make each secret discoverable, attributable, and revocable before exposure becomes a long-lived access path.

Q: Why do long-lived service account secrets create such a large governance problem?

A: Long-lived secrets increase both attack window and operational dependence. The more systems rely on a credential that rarely changes, the harder it becomes to rotate it safely, prove who used it, and respond quickly if it leaks. That makes the secret a governance liability, not just a technical artefact.

Q: What breaks when organisations centralise secrets management but do not improve auditing?

A: Centralisation alone does not tell you whether a secret was used appropriately. Without detailed audit trails, teams may know where the secret is stored but not whether it was abused, by whom, or from which workload. That leaves compliance evidence weak and incident response slow.

Q: How do you know if secrets rotation is actually reducing risk?

A: Rotation is working only if exposure windows shrink without causing downstream failures or manual exceptions. Measure whether secrets can be changed on schedule, whether applications recover cleanly, and whether incident investigations show shorter periods of valid compromise after disclosure.

Technical breakdown

Why secret sprawl drives both cost and exposure

Secret sprawl happens when credentials are scattered across code repositories, pipelines, cloud services, vaults, and collaboration tools without one control plane. That fragmentation raises the cost of every operational action, because discovery, rotation, auditing, and revocation all become manual or inconsistent. It also increases the probability that one exposed secret outlives its intended purpose. In NHI terms, the issue is lifecycle drift: the secret exists longer, wider, and in more places than the business can govern.

Practical implication: inventory where secrets live before attempting to optimise tooling or budget.

Why rotation changes the economics of compromise

Rotation reduces the window in which a leaked secret remains usable. Dynamic secrets and short-lived credentials change the economics of compromise by making stolen values expire quickly, but rotation only works if applications can tolerate change and access paths are properly staged during cutover. Where rotation fails, the failure is usually not cryptographic. It is operational, with downstream systems depending on static assumptions about credential persistence.

Practical implication: test whether applications and pipelines can survive frequent credential turnover before tightening TTLs.

How granular auditing lowers incident and compliance cost

Granular auditing records who or what used a secret, when it was used, and from where it was accessed. That evidence shortens investigation time, supports compliance claims, and helps distinguish normal machine behaviour from suspicious use. For non-human identities, audit quality is often more important than raw alert volume, because a service account can look legitimate right up until its usage pattern diverges from expected workload behaviour.

Practical implication: require usage logging that can distinguish routine machine access from anomalous secret use.

Threat narrative

Attacker objective: The attacker’s objective is to turn one exposed secret into durable access, data theft, or downstream system manipulation before the credential is rotated or revoked.

1. Entry occurs when a secret is exposed in a public repository, pipeline, collaboration platform, or other unmanaged location.
2. Escalation follows when the stolen credential is reused against applications, APIs, or cloud services that still trust it.
3. Impact is reached when the attacker uses that standing access to read data, manipulate systems, or extend into adjacent environments.

Breaches seen in the wild

• Sisense breach — unauthorized GitLab access led to exfiltration of access tokens, API keys and certificates.
• 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

Secrets management is a governance problem, not a storage problem. The article is correct that cost follows control failure, but the deeper issue is that organisations often treat vaulting as the endpoint. In practice, the risk lives in discovery gaps, rotation failure, and untracked use across service accounts, APIs, and pipelines. The practitioner conclusion is that lifecycle visibility matters more than any single repository for secrets.

Secret rotation only reduces risk when the rest of the environment can absorb change. Long-lived credentials create a hidden dependency map across applications, jobs, and integrations, and that dependency map is often larger than teams expect. The result is that organisations defer rotation because the operational blast radius looks too high. The practitioner conclusion is that static secret dependence is itself a governance signal.

Cost optimisation and identity hardening converge in NHI programmes. The article shows why budget conversations should focus on preventing exposure windows, not just reducing tooling spend. That framing aligns with OWASP-NHI and NIST CSF thinking: discover, protect, detect, and govern machine credentials as identity assets. The practitioner conclusion is that secrets management should be measured as control effectiveness, not software consolidation.

Credential sprawl is the named failure mode this article exposes. The article’s central premise is that scattered secrets create both higher breach probability and higher operating cost because accountability is distributed across too many systems. That assumption fails whenever access paths outlive the team’s ability to see, rotate, or revoke them. The practitioner conclusion is that sprawl, not just exposure, is the governing problem.

Auditability is the control that turns secrets from liabilities into governed assets. Without usage trails, teams cannot tell whether a secret was accessed as designed or abused after disclosure. That weakens incident response, compliance evidence, and any attempt to separate normal workload behaviour from attacker activity. The practitioner conclusion is that secrets governance should be built around traceable use, not just controlled storage.

From our research:

• The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
• Organisations maintain an average of 6 distinct secrets manager instances, creating fragmentation that undermines centralised control, according to The State of Secrets in AppSec.
• For a broader breach-pattern view, see 52 NHI Breaches Analysis for how exposed credentials translate into repeatable attack paths.

What this signals

Credential sprawl: when secrets are distributed across too many repositories and platforms, the governance burden rises faster than the security benefit. With 6 distinct secrets manager instances on average in our research, fragmentation becomes a control problem as much as a tooling problem, because every extra system adds another place to lose revocation speed and audit consistency.

The practical signal for teams is that budget discussions should move from licence reduction to exposure reduction. Secrets programmes that cannot show faster discovery, shorter valid-use windows, and more reliable audit trails are not yet delivering operational control, even if they look centralised on paper.

For practitioners building NHI and workload identity programmes, the next step is to treat secret handling as lifecycle management. That means aligning rotation, offboarding, and monitoring to the workload, not to the storage system, and anchoring the approach in the OWASP Non-Human Identity Top 10 and NIST Cybersecurity Framework 2.0.

For practitioners

• Map every secret to an owning workload and lifecycle: Build an inventory that ties each credential, token, API key, and certificate to a named system owner, rotation owner, and decommission path. Include cloud services, CI/CD pipelines, code repos, and collaboration platforms so that orphaned secrets are visible before you try to optimise cost.
• Shorten secret lifetime where applications can tolerate it: Replace static credentials with dynamic or time-bound alternatives for workloads that can support renewal without outage risk. Validate cutover behaviour in lower environments first, then enforce the shortest acceptable TTL in production.
• Require usage logging on every privileged secret: Capture who or what used the secret, from which workload, and at what time so investigations do not begin from guesswork. Use those logs to flag unexpected access patterns, especially for service accounts that should only talk to a fixed set of downstream systems.
• Collapse duplicated secrets systems where governance is fragmented: If multiple tools are creating separate inventories, rotation rules, and approval paths, treat that as a governance overhead problem before it becomes a spend problem. Consolidation only helps when it improves auditability and revocation speed, not just licence count.

Key takeaways

• The article’s core lesson is that secret management is a cost-control lever only when it also reduces exposure windows and improves traceability.
• The evidence points to a persistent gap between confidence and control, with leaked secrets often taking weeks to remediate.
• Teams should measure success by faster discovery, shorter credential lifetimes, and stronger audit evidence across the NHI lifecycle.

Key terms

• Secret Sprawl: Secret sprawl is the uncontrolled distribution of credentials across code, pipelines, cloud services, and collaboration tools. It creates visibility gaps, increases rotation effort, and makes revocation slower when a credential is exposed or misused. The operational cost rises because no single team can easily see the full trust surface.
• Dynamic Secret: A dynamic secret is a credential issued for a limited time and replaced automatically or on demand. It reduces exposure by making stolen values expire quickly, but it only works when the consuming application can renew access without manual intervention or brittle hardcoding.
• Non-Human Identity: A non-human identity is a credentialed entity used by software, systems, or automated workloads rather than a person. It includes service accounts, API keys, tokens, certificates, and similar secrets. Governance must cover its lifecycle, privileges, monitoring, and revocation just as carefully as human access.

What's in the full article

Entro Security's full blog covers the operational detail this post intentionally leaves for the source:

• Detailed explanation of how the vendor positions secrets management as a cybersecurity budget control.
• Step-by-step rotation and discovery guidance for teams managing multiple secret stores.
• Examples of how the vendor connects secret exposure to breach cost, compliance, and cloud spend.
• The article’s own framing of how its platform fits into NHI and secrets management operations.

👉 The full Entro Security post covers rotation, discovery, and NHI cost-control examples in more detail.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity security 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.