TL;DR: Enterprise breaches increasingly hinge on exposed encryption keys, API keys, signing keys, and TLS private keys rather than passwords or MFA, according to eMudhra. The trust assumption that identity controls alone can protect cryptographic material is collapsing, and key governance is now an identity security requirement, not a backend convenience.
At a glance
What this is: This is an analysis of why key management has become a foundational trust layer and how cryptographic keys now sit at the centre of identity and access risk.
Why it matters: It matters because IAM, PKI, PAM, and NHI programmes all depend on how keys are generated, stored, rotated, revoked, and audited across human and machine trust paths.
By the numbers:
- When AWS credentials are exposed publicly, attackers attempt access within an average of 17 minutes and as quickly as 9 minutes in some cases, according to Entro Security.
👉 Read eMudhra's analysis of key management as the trust layer behind IAM and PKI
Context
Key management is the discipline of controlling cryptographic material such as encryption keys, signing keys, API keys, TLS private keys, SSH keys, and tokens. The article argues that identity security now depends on governance of those keys because password controls, MFA, and even PKI do not on their own solve key sprawl, rotation, revocation, or auditability.
That matters for IAM and NHI programmes because keys are what make users, services, devices, workloads, and applications trustworthy in practice. When keys live in laptops, CI/CD pipelines, cloud silos, and application configs without central governance, the identity stack can look strong while the real trust layer remains fragmented.
Key questions
Q: How should security teams manage encryption keys in cloud environments?
A: Security teams should treat encryption keys as privileged assets with clear ownership, least-privilege access, automated rotation, and immediate revocation paths. The practical model is identity-first: map which service accounts, workloads, and admins can touch the keys, then enforce logging and review across the full lifecycle. The goal is to make key use attributable and reversible, not merely encrypted.
Q: Why do long-lived keys create more risk than many IAM teams expect?
A: Long-lived keys create standing trust that outlives the system state they were meant to secure. If a key is copied into code, pipelines, or cloud silos and never rotated, compromise can bypass password and MFA controls entirely. That makes the key lifecycle a primary security boundary, not a secondary one.
Q: What breaks when key ownership and rotation are unclear?
A: Governance breaks first, then incident response. If no one knows who owns a key, where it is used, or when it should be retired, teams cannot revoke it confidently or prove that exposure has been removed. The practical result is orphaned trust that persists long after the original business need has changed.
A: Accountability usually spans the identity owner, the platform team, and the programme that allowed the secret to remain valid or reused. For regulated environments, governance expectations also extend to access reviews, incident response, and proof that credential lifecycle controls were in place before exposure occurred.
Technical breakdown
Why key management is different from IAM or PKI
IAM tells you who can log in. PKI binds an identity to a certificate. Key management governs the cryptographic material that underpins both, including generation, storage, rotation, expiry, revocation, and use of keys across applications and workloads. The operational problem is scale: enterprises accumulate thousands of keys across clouds, pipelines, and devices, and those keys often escape the controls that protect interactive identities. Without a central key lifecycle, the organisation inherits static trust, orphaned credentials, and inconsistent policy enforcement.
Practical implication: Treat keys as governed identity assets, not as implementation details hidden inside infrastructure.
How key sprawl creates cryptographic trust gaps
Key sprawl appears when cryptographic material is created or copied in uncontrolled locations such as developer laptops, CI/CD configs, local keystores, container images, and cloud-specific KMS silos. The result is fragmented ownership and weak visibility into who created a key, where it lives, whether it is still used, and what should happen if it is compromised. This is not simply poor hygiene. It is a governance failure that breaks separation of duties and makes revocation slow or impossible.
Practical implication: Inventory all key stores and tie each key to an owner, purpose, and retirement condition.
Why automated key lifecycle control matters for zero trust
Zero Trust assumes trust must be continuously evaluated, but keys that never rotate or expire create persistent trust that outlives the system state they were meant to secure. Automated lifecycle control brings issuance, renewal, rotation, revocation, and audit into one policy layer, which is essential for service accounts, workloads, APIs, and device identities that cannot wait for manual administration. In practice, the question is not whether a key exists, but whether its authority has a bounded lifetime and a visible control path.
Practical implication: Use policy-driven expiry and revocation so cryptographic trust cannot remain standing by default.
Threat narrative
Attacker objective: The attacker aims to hijack trusted cryptographic identity and use it to impersonate systems, access protected services, and expand access beyond what user-centric controls can detect.
- Entry occurs when attackers find exposed keys in public repositories, training data, misconfigured storage, or application secrets that were never centrally governed.
- Escalation follows when the compromised key is reused across services, authorises privileged actions, or opens access to cloud, CI/CD, or workload environments.
- Impact occurs when the attacker uses that trust to impersonate systems, sign malicious artefacts, move laterally, or exfiltrate data without triggering password-based controls.
Breaches seen in the wild
- IOS app secrets leakage report — iOS apps leaking hardcoded secrets and credentials endangering user privacy.
- Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.
Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Key management is no longer a supporting control, it is the trust substrate for identity. IAM, PKI, and MFA all depend on cryptographic material that must be generated, stored, rotated, and retired with discipline. When that layer is fragmented, every identity programme inherits hidden exposure that is invisible in access reviews alone. The practitioner implication is that key governance must be treated as an identity control plane, not a backend utility.
Cryptographic trust debt is the accumulation of keys that outlive their intended scope. A key that is never rotated, never revoked, or copied into too many environments becomes a liability even if it was created correctly. This is especially acute in hybrid and multi-cloud estates where policy drift is common and ownership is unclear. The implication is that unowned keys are a governance failure, not merely a technical oversight.
Identity programmes cannot claim Zero Trust while leaving long-lived keys unmanaged. Zero Trust expects continuous verification, but standing keys create standing trust, and standing trust is the opposite of bounded access. The issue is not just exposure risk. It is that the programme’s trust model still assumes cryptographic credentials can be left in place indefinitely. The implication is that identity governance must incorporate key lifecycle controls as a core design principle.
Machine identities and human identities now share the same cryptographic failure surface. User-facing controls may reduce account takeover, but they do not govern API keys, signing keys, certificates, or service credentials that are embedded in applications and workflows. That means a human IAM programme can mature while the machine trust layer remains under-managed. The implication is that NHI and human IAM teams need a shared governance model for cryptographic assets.
Unified key governance is becoming the practical boundary of modern identity architecture. Enterprises are moving from scattered management of certificates, secrets, and access credentials toward one policy layer that can enforce lifecycle, approval, and audit requirements across systems. The architecture question is no longer whether a platform stores keys, but whether it can prove who held them, when they were used, and how they were retired. The implication is that cryptographic governance now belongs in identity architecture reviews.
From our research:
- 88.5% of organisations acknowledge that their non-human IAM practices lag behind or are merely on par with their human identity and access management efforts, according to The 2024 Non-Human Identity Security Report.
- 23.5% of security professionals are unsure about the biggest threat to their non-human identities, indicating a significant awareness gap.
- Key lifecycle governance is explored further in Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs, which helps teams move from visibility to control.
What this signals
Key management is becoming the operational boundary of identity security. As cryptographic material spreads across cloud services, pipelines, and applications, IAM teams will need to define which keys are part of identity governance and which are unmanaged technical debt. That shifts the programme from authentication-centric thinking to lifecycle-centred control.
Crypto-agility is now an identity architecture issue, not just a post-quantum planning issue. The organisations that can inventory, rotate, and retire keys consistently will be better positioned to reduce standing trust and shorten the exposure window when credentials leak. That is why key governance should be assessed alongside workload identity and access review maturity.
With 59.8% of organisations seeing value in dynamic ephemeral credentials, per the 2024 Non-Human Identity Security Report, the governance conversation is moving toward shorter-lived trust objects. The challenge is to make that shift measurable across human, machine, and application identities without creating new blind spots.
For practitioners
- Map all cryptographic assets to owners and lifecycles Build an inventory that includes encryption keys, signing keys, API keys, TLS private keys, SSH keys, and tokens across cloud, CI/CD, and application environments. For each item, define the owner, the system dependency, the rotation rule, and the retirement trigger.
- Eliminate unmanaged key creation paths Remove local and ad hoc creation paths on developer laptops, shared directories, pipeline configs, and application servers where keys can appear outside policy. Require approved issuance flows so every new key enters governance at creation time.
- Automate rotation and revocation for standing keys Apply policy-driven rotation and revocation to keys that currently persist across services or deployments. Prioritise keys used by APIs, microservices, and workload identities because those credentials are hardest to detect when reused or stolen.
- Separate approval from usage for privileged cryptographic operations Reserve approval workflows for key creation, export, rotation, and retirement, and keep usage tightly scoped to the applications and workloads that truly need it. This reduces the chance that one compromised key can be repurposed across multiple trust domains.
Key takeaways
- Key management has moved from a backend function to a core identity governance layer because exposed keys can bypass traditional authentication controls.
- The scale problem is organisational, not just technical, because thousands of keys can live across laptops, pipelines, cloud silos, and application configs without central oversight.
- Practitioners should focus on ownership, lifecycle control, and revocation discipline so cryptographic trust does not remain standing by default.
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 CSF 2.0, NIST SP 800-53 Rev 5 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | The article centres on unmanaged keys and rotation gaps across non-human identities. |
| NIST CSF 2.0 | PR.AC-1 | Identity and access governance depends on controlled issuance and use of cryptographic credentials. |
| NIST SP 800-53 Rev 5 | IA-5 | Authenticator management directly applies to API keys, signing keys, and other cryptographic secrets. |
| NIST Zero Trust (SP 800-207) | Zero Trust depends on bounded, continuously verified trust objects. | |
| MITRE ATT&CK | TA0006 , Credential Access; TA0008 , Lateral Movement | Stolen keys often enable direct credential access and lateral movement. |
Map exposed keys to credential access and lateral movement paths when prioritising detection and containment.
Key terms
- Key Management: Key management is the controlled lifecycle of cryptographic keys, from generation and storage through rotation, use, and retirement. In enterprise environments it is the governance layer that determines whether keys remain trustworthy across users, workloads, devices, and applications.
- Cryptographic Trust Fabric: The interconnected set of identities, certificates, keys, and dependencies that determines which systems trust each other and why. In practice, it is the hidden structure PQC programmes must map before replacing algorithms, because every trust link can become a migration failure point if it is undocumented.
- Key Sprawl: The condition where keys are scattered across clouds, pipelines, applications, and local systems without central visibility. Sprawl makes it harder to know which keys are active, who owns them, and whether they are safe to keep in circulation.
- Standing Trust: Persistent confidence in an identity, broker, or automation path to request privilege without sufficient ongoing verification. For NHIs, standing trust can remain even when credentials are short lived, which means the organisation has reduced exposure time but not necessarily reduced the chance of abuse.
What's in the full article
eMudhra's full article covers the operational detail this post intentionally leaves for the source:
- How the vendor positions key management alongside IAM, PKI, MFA, and Zero Trust in enterprise trust architecture.
- Specific capability breakdowns for certificate lifecycle automation, separation of duties, and trust policy enforcement.
- Examples of how keys are distributed across cloud, CI/CD, application, and device environments in real deployments.
- The vendor's explanation of its own platform components and how they map to PKI and identity governance workflows.
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 building or maturing an identity security programme, it is worth exploring.
Published by the NHIMG editorial team on July 11, 2026.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org