TL;DR: Organisations still struggle to discover, classify, monitor, and rotate non-human identities and secrets across code, vaults, cloud services, and collaboration tools, according to Entro Security. That gap makes lifecycle governance and visibility the real control plane for NHI security, not branding or market awards.
At a glance
What this is: This is Entro Security’s commentary on why Gartner Cool Vendor recognition matters in the context of NHI discovery, secrets governance, and lifecycle control.
Why it matters: It matters because IAM, IGA, PAM, and security teams need a clearer model for managing service accounts, API keys, tokens, and secrets across the environments where they actually live.
By the numbers:
- 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
👉 Read Entro Security's blog post on Gartner Cool Vendor recognition and NHI governance
Context
Non-human identity governance breaks down when organisations cannot reliably find where service accounts, API keys, tokens, and certificates live. In practice, that means secrets often sit in code, vaults, chats, cloud services, and pipelines without a consistent ownership model or rotation discipline. This post uses Entro Security’s Cool Vendor framing as a trigger to examine the underlying control problem, not the award itself.
The core issue is visibility plus lifecycle control. If teams do not know what NHIs exist, who owns them, what permissions they carry, and where they are stored, they cannot govern exposure or limit blast radius. The starting position described here is common, not exceptional, across modern cloud and software delivery environments.
Key questions
Q: How should security teams inventory non-human identities across cloud and code environments?
A: Start by scanning the places NHIs are most often embedded: source code, CI/CD pipelines, vaults, cloud consoles, chat tools, and configuration stores. Then normalize each finding into one record with an owner, system dependency, privilege scope, and lifecycle state. A usable inventory is one that supports rotation, offboarding, and access review, not just counting secrets.
Q: Why do service accounts and API keys create more risk when they are long lived?
A: Long-lived credentials extend the time an attacker can use a compromised secret, and they often survive after the original business purpose has changed. That creates standing access and a wider identity blast radius. The more systems a secret can reach, the more important rotation, revocation, and offboarding become to reducing exposure.
Q: What do teams get wrong about secrets discovery in NHI programmes?
A: They often stop at finding the secret and treat discovery as the end of the job. In reality, discovery only creates value when it leads to classification, ownership assignment, privilege mapping, and a concrete remediation path. Without those steps, the inventory becomes a snapshot instead of a control mechanism.
Q: Who should own lifecycle governance for non-human identities?
A: Ownership should sit with the teams that control the application or service using the credential, with IAM, security, and platform teams defining the governance rules. If no one is accountable for revocation, rotation, and offboarding, machine identities will outlive the systems they were created to support.
Technical breakdown
NHI discovery across code, vaults, and collaboration tools
NHI discovery is the process of locating machine identities and secrets wherever they are created or copied. In modern estates that means source code, CI/CD pipelines, vaults, cloud services, messaging tools, wikis, and identity providers. The technical failure is not simply that secrets exist, but that they are distributed across systems with different owners and different access models. Without a complete inventory, downstream controls such as rotation, access review, and anomaly detection operate on partial data and miss the highest-risk credentials.
Practical implication: build inventory coverage first, or every later control will be blind to part of the attack surface.
Contextual enrichment and privilege mapping for machine identities
Discovery alone is not enough because identical-looking secrets can have very different operational risk. A service account, token, or API key becomes governable only when it is enriched with ownership, system dependency, privilege scope, and business function. That enrichment lets teams distinguish dormant credentials from active ones and high-risk credentials from low-risk ones. This is where NHI governance intersects with IAM and PAM, because the same secret may effectively function as privileged access in one context and low-risk automation in another.
Practical implication: require owner, purpose, and privilege metadata before approving any credential as in-scope for production use.
Secrets rotation and standing access reduction
Rotation is the operational control that limits how long a leaked or misused secret remains valid. For NHIs, the hard part is not the act of changing a credential, but doing so without breaking dependent services and without leaving parallel credentials active. Standing access becomes the default failure mode when teams depend on long-lived keys, manual revocation, or inconsistent offboarding. In Zero Trust terms, the goal is to reduce persistence, shorten trust windows, and make credential validity more tightly bounded to actual need.
Practical implication: treat rotation and offboarding as lifecycle controls, not one-time hygiene tasks.
NHI Mgmt Group analysis
Visibility is the first governance control, not a supporting feature. Entro’s framing reflects a wider market truth: organisations cannot secure NHIs they cannot enumerate. The problem is structural because secrets are created in code, copied into chats, embedded in pipelines, and reused across cloud services faster than manual governance can track them. The practical conclusion is that NHI governance starts with discovery coverage, not with policy language.
Context is what turns an inventory into an identity programme. A list of secrets is not the same as a governable identity estate. Teams need ownership, permission scope, system dependency, and lifecycle state to decide what should be rotated, revoked, or constrained. That is why NHI governance sits at the intersection of IAM, PAM, and lifecycle management rather than in secrets management alone. Practitioners should treat enrichment as the bridge between visibility and action.
Standing secret exposure creates identity blast radius that conventional review cycles cannot absorb. Once API keys and service accounts persist across multiple systems, the risk is no longer only compromise but duration of exposure. Long-lived credentials widen the blast radius because they remain usable long after the original context has changed. The named concept here is identity blast radius: the amount of environment an exposed NHI can reach before detection and revocation. Practitioners should measure it as a governance outcome, not a threat headline.
Lifecycle governance is the real differentiator in NHI maturity. The article points to discovery and monitoring, but the decisive question for the field is whether organisations can consistently revoke, rotate, and offboard machine identities when systems, vendors, or application code change. That is where many programmes stall. The implication is that mature NHI security is less about owning more tools and more about proving that credentials do not outlive their business purpose.
From our research:
- 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, according to Ultimate Guide to NHIs.
- Only 5.7% of organisations have full visibility into their service accounts, which explains why discovery-first governance remains the practical starting point.
- The 52 NHI Breaches Analysis shows how exposed secrets and uncontrolled machine access translate into repeatable breach patterns.
What this signals
Identity blast radius: the practical metric practitioners should watch is how far a single exposed NHI can reach before detection and revocation. As environments fragment across cloud, code, and collaboration tools, teams need a governance model that measures reach, not just counts secrets.
The programme signal is clear: discovery tools without ownership and lifecycle data will not move the risk needle. Teams that can connect inventory, access scope, and revocation triggers will be better positioned to operationalise least privilege across machine identity estates.
For broader context, the 52 NHI Breaches Analysis and the Ultimate Guide to NHIs both show why visibility and offboarding must be treated as linked controls rather than separate projects.
For practitioners
- Map the full NHI estate before expanding controls Inventory service accounts, API keys, tokens, and certificates across code, vaults, cloud services, chats, and CI/CD systems. Classify each item by owner, system dependency, privilege scope, and last-known use so rotation and revocation decisions have a reliable starting point.
- Require enrichment fields before accepting any credential into production Do not treat a discovered secret as governable until it has an accountable owner, an associated application or service, and an explicit permission profile. Without those fields, access reviews and offboarding are too shallow to reduce real exposure.
- Shorten the validity window for long-lived machine credentials Replace persistent keys where possible, and where not possible, enforce rotation tied to change events, vendor changes, and application decommissioning. The goal is to reduce the period in which a leaked secret remains usable across multiple environments.
- Tie offboarding to application and vendor lifecycle events Create revocation triggers for application retirement, environment migration, and third-party access changes so machine identities do not survive the business relationship that justified them. This closes the gap between administrative change and credential exposure.
Key takeaways
- NHI security fails first when organisations cannot reliably see where secrets and service accounts exist.
- The meaningful governance problem is not discovery alone but the ability to map ownership, privilege, and lifecycle state to every machine identity.
- Practitioners should reduce credential persistence by tying rotation and revocation to application, vendor, and environment change events.
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 address the attack and risk surface, while NIST Zero Trust (SP 800-207) and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Discovery and inventory are central to this article's NHI visibility problem. |
| NIST Zero Trust (SP 800-207) | PR.AC-4 | Least-privilege access and continuous verification are relevant to standing NHI exposure. |
| NIST CSF 2.0 | ID.AM-1 | Asset management is the prerequisite for governing dispersed machine identities. |
Map all secrets and machine identities before attempting rotation, revocation, or segmentation.
Key terms
- Non-Human Identity: A non-human identity is any digital identity used by software, services, or automation rather than a person. It includes service accounts, API keys, tokens, certificates, and workload identities. In practice, it must be governed as an identity with ownership, privilege, and lifecycle controls.
- Identity Blast Radius: Identity blast radius is the amount of systems, data, and actions reachable through a single compromised credential or account. For NHIs, it expands quickly when long-lived secrets are reused across environments or granted broad permissions. It is a practical measure of how far governance has to shrink exposure.
- Secrets Lifecycle: Secrets lifecycle is the sequence of creation, storage, use, rotation, revocation, and offboarding for credentials such as keys, tokens, and certificates. In NHI programmes, lifecycle management is the control that prevents credentials from outliving the business purpose they were issued for.
What's in the full article
Entro Security's full blog post covers the commentary and product-context detail this post intentionally leaves for the source:
- How Entro describes its discovery coverage across vaults, code repositories, CI/CD pipelines, and collaboration tools.
- The vendor’s own explanation of how it classifies and enriches NHIs with owner and permission context.
- Additional context on how Entro positions monitoring, analytics, and lifecycle management inside its platform.
- The company’s framing of why Gartner Cool Vendor recognition mattered to its market narrative.
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.
Published by the NHIMG editorial team on 2024-05-15.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org