Access keys are not encryption keys: why IAM controls diverge

At a glance

What this is: This analysis shows why access keys and encryption keys require different governance, with the key finding that one-size-fits-all secret handling creates visibility, rotation and zero-trust gaps.

Why it matters: It matters because IAM, NHI, and PAM teams must govern workload access as runtime identity, not as a static secret lifecycle, or they will miss the control failures that drive misuse and audit exposure.

By the numbers:

• Verizon’s 2025 DBIR found stolen credentials were implicated in 22% of breaches.
• GitGuardian reports that 64% of secrets exposed in 2022 were still valid four years later.

👉 Read Aembit's analysis of why access keys are not encryption keys

Context

Access keys are credentials that authorize workloads, scripts and services to act. Encryption keys are different objects with different lifecycles, different blast radii and different control expectations. The primary problem is that many programmes still manage both as if they were the same thing, which creates gaps in visibility, rotation and runtime governance for non-human identity.

For identity teams, the failure is structural: static secret handling works poorly for moving machine identities, just as human authentication controls do not map cleanly onto workload access. When access is treated like a stored secret instead of a runtime entitlement, organisations lose control over who or what is acting, when it is acting, and under what conditions.

Key questions

Q: How should security teams handle access keys differently from encryption keys?

A: Security teams should govern access keys as workload identity credentials, not as data-protection material. Encryption keys can be centralized and rotated on a slower cadence, but access keys should be short-lived, scoped and observable at runtime. If both are handled under one secrets policy, organisations lose visibility into machine access and preserve standing privilege.

Q: Why do static access keys create more risk in cloud-native environments?

A: Static access keys create more risk because they can be copied into code, containers and pipelines, then reused long after the original context changes. That persistence defeats zero-trust assumptions and makes revocation harder. In cloud-native systems, the problem is less the secret store itself than the fact that the credential keeps working outside its intended boundary.

Q: What breaks when organisations treat all keys as the same type of credential?

A: What breaks is the control model. Encryption keys are usually stable, centrally managed and tied to data confidentiality, while access keys are dynamic and authorize actions. Treating them the same causes poor rotation timing, weak auditability and hidden machine-to-machine privilege. The result is a larger blast radius than the programme thinks it has.

Q: How can teams tell whether workload access is still too secret-driven?

A: A strong signal is finding access keys embedded in source code, environment variables, old infrastructure or CI/CD pipelines with no clear owner. Another warning sign is rotation measured in months or quarters instead of runtime issuance. If the team cannot say who last used a credential and for what purpose, governance is too weak.

Technical breakdown

Why access keys behave like workload identities, not encryption material

Access keys are used to authenticate and authorize actions, which makes them identity credentials rather than confidentiality controls. They move through environment variables, CI/CD systems, containers and configuration files because workloads need them at runtime. That mobility creates a different lifecycle from encryption keys, which typically remain centralized and comparatively stable. The technical error is assuming the same custody model, rotation rhythm and audit model can govern both. They cannot, because one controls data protection while the other controls action. The result is hidden privilege, inconsistent revocation and poor observability across machine-to-machine access.

Practical implication: Separate workload access governance from encryption key management and treat access keys as operational identity credentials.

Static secrets and zero-trust access do not mix

Zero trust assumes every access request is evaluated in context. Static access keys undermine that model because they are pre-provisioned, reusable and often long-lived, so the decision happens once and the credential persists far beyond the original trust check. In cloud-native environments this creates an identity gap: the key may still work even when the workload, container or pipeline context has changed. That breaks the core zero-trust assumption that trust must be continuously re-established, not cached in a file or secret store. Runtime issuance is the architectural response, not static storage.

Practical implication: Eliminate standing workload secrets where possible and issue credentials only at the moment of use.

Why audit trails fail when keys are managed as generic secrets

Auditing access keys as if they were encryption keys often produces misleading control evidence. Encryption key use is usually infrequent and tightly bounded, while access keys can be invoked at high frequency across many services and automation paths. If logging and entitlement tracking are built for low-change key custody, teams miss who used what, where it ran and whether the credential was copied into other systems. That invisibility is why leaked or forgotten credentials survive long after their intended use. The control failure is not just rotation. It is the absence of identity-level observability for machine access.

Practical implication: Instrument workload identity events, not just secret storage events, so access use can be traced end to end.

Breaches seen in the wild

• MongoBleed breach — MongoBleed exposed secrets across 87K MongoDB servers.
• 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

Access-key governance fails when organisations assume all credentials can be managed as static secret material. That assumption is designed for encrypted data controls, not for workload identities that must authenticate and act continuously. When access credentials inherit encryption-key handling, rotation becomes too slow, scope becomes too broad and visibility becomes too shallow. The implication is that governance needs to distinguish between protecting data and controlling action, because they are not the same control problem.

Secret sprawl is the named failure mode this topic exposes. Access keys copied into code, containers and CI pipelines create unmanaged identity instances that outlive the original use case. This is not just a storage issue. It is a lifecycle failure in which a credential can exist in more places than the team can reliably inventory or revoke. Practitioners should recognise that the breach surface is created by proliferation, not merely by weak passwords or poor encryption.

Zero Trust Architecture only works for non-human access when runtime identity is visible and scoped at the point of use. The article’s core point aligns with OWASP-NHI and ZT-NIST-207: static access keys represent a standing trust decision, which contradicts continuous verification. For IAM and PAM teams, the governance question is whether the environment still depends on credentials that can be copied, replayed and forgotten.

The human identity model breaks when applied to machine access without adjustment. Human login patterns assume interactive use, durable accountability and relatively low-frequency credential events. Workload access operates at machine speed, so the control cadence must shift from user-centric review to runtime entitlement governance. The practical conclusion is that access policy, observability and offboarding must follow the workload, not the secret store.

Runtime issuance is becoming the baseline control, not an advanced option. The combination of breached credential prevalence and long-lived secret persistence shows that static access keys create a predictable control gap. As cloud-native systems and AI-enabled pipelines multiply non-human identities, organisations that do not separate access credentials from encryption keys will keep inheriting the same failure pattern across environments.

From our research:

• Only 19.6% of security professionals express strong confidence in their organisation's ability to securely manage non-human workload identities, according to the 2024 Non-Human Identity Security Report.
• Another finding from the same report shows that 35.6% of organisations cite managing consistent access across hybrid and multi-cloud environments as their top NHI security challenge.
• For a broader governance lens, read Ultimate Guide to NHIs for the lifecycle and control model behind workload identity.

What this signals

The governance signal for identity teams is clear: static secret management is no longer enough for machine access, especially where workloads move across CI/CD, containers and multi-cloud estates. With only 19.6% of professionals expressing strong confidence in secure non-human workload identity management, the control gap is already visible in operating practice.

Secret sprawl: the real issue is not whether a key is encrypted in storage, but whether it can be copied into code, pipelines and runtime environments without a reliable offboarding path. That is where workload access becomes invisible and audit findings follow.

Teams should expect access governance to shift toward runtime issuance and identity-level observability, because static credentials are increasingly incompatible with zero-trust control expectations. For a deeper NHI lifecycle baseline, the Ultimate Guide to NHIs remains the reference point.

For practitioners

• Separate key governance by function Split encryption-key custody from workload access governance so one rotation policy does not govern two different control problems. Map each key type to its own inventory, lifecycle and review process, and stop accepting a generic secrets-manager model as sufficient for machine access.
• Eliminate standing workload secrets where runtime issuance is possible Replace embedded access keys in code, containers and pipeline variables with short-lived credentials issued at execution time. The objective is to remove reusable credentials from places where they can be copied, replayed or forgotten.
• Add identity-level observability for non-human access Track which workload used which credential, when it was issued and what action it performed. Logging only secret storage events is not enough, because the operational risk comes from credential use across services and automation paths.
• Review zero-trust assumptions in CI/CD and container paths Check whether your pipelines and runtime environments still trust pre-provisioned secrets by default. If access is still granted through long-lived keys, the zero-trust model is partial at best and standing privilege remains.

Key takeaways

• Access keys and encryption keys serve different security purposes, so governing both under one secret policy creates avoidable identity risk.
• The evidence across breach research and NHI maturity data shows that long-lived credentials remain a persistent weak point in cloud-native environments.
• Practitioners should move workload access toward runtime issuance, scoped entitlement and identity-level observability before static secrets become the default failure mode.

Key terms

• Access Key: A credential that authorizes a workload, script or service to act on a system or API. Unlike an encryption key, it governs access rather than data protection. In non-human identity programmes, it must be managed as a runtime entitlement with clear ownership, scope and revocation.
• Encryption Key: A key used to encrypt or decrypt data at rest or in transit. It protects confidentiality and integrity, usually through centralized custody and policy-driven rotation. Its lifecycle is typically more stable than workload credentials, which is why it should not be governed with the same operational model.
• Secret Sprawl: The uncontrolled spread of credentials across code, pipelines, configuration files and runtime environments. It creates hidden copies, unclear ownership and weak offboarding. In NHI governance, secret sprawl is often the practical reason long-lived access survives long after the original workload or team has moved on.
• Runtime Issuance: A pattern in which a workload receives a short-lived credential only at the moment it needs to act. This reduces standing exposure and aligns access with current context. For machine identities, runtime issuance is the control that replaces persistent secret storage with time-bound entitlement.

Deepen your knowledge

Access key governance, runtime issuance and non-human identity lifecycle control are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are redesigning machine access away from static secrets, the course gives the governance baseline to do it consistently.

This post draws on content published by Aembit: Access Keys Are Not Encryption Keys: Why Identity Needs a Different Strategy. Read the original.