TL;DR: P0 Security says cloud-native access governance is breaking down because legacy access models cannot consistently govern both human users and non-human identities across discovery, ownership, risk posture, and lifecycle management. Least privilege only holds when inventories, ownership, and rotation workflows cover service accounts, outdated keys, and overprivileged access together.
At a glance
What this is: P0 Security argues that access governance is failing when human and machine identities are managed with different assumptions, leaving cloud environments exposed through weak inventory, ownership, and lifecycle control.
Why it matters: IAM and PAM teams need one governance model for users, service accounts, keys, and other NHIs because inconsistent lifecycle control turns least privilege into an audit-only policy.
By the numbers:
- The global average cost of a data breach in 2024 was $4.9 million, a 10% increase over last year.
👉 Read P0 Security's article on strengthening access governance for human and machine identities
Context
Access governance is the set of controls that determine who or what can reach critical systems, data, and infrastructure, and under what conditions. In cloud-native environments, that problem now spans human users and NHIs such as service accounts, keys, tokens, and other machine identities.
The article’s core claim is that legacy access models do not scale across those identity types because ownership, risk, and lifecycle expectations differ. When discovery, access review, rotation, and offboarding are not governed together, least privilege becomes inconsistent across the estate.
The topic is therefore not just access management in general. It is the governance gap that appears when organisations try to apply one model to identities that behave differently, yet still touch the same cloud and infrastructure layers.
Key questions
Q: What breaks when human and machine identities are managed in separate programmes?
A: Ownership, visibility, and response paths fragment. That fragmentation makes it harder to see privilege drift, correlate suspicious behaviour, and revoke access quickly when a human account and a non-human identity are both part of the same incident chain.
Q: Why do overprivileged service accounts create such persistent cloud risk?
A: Overprivileged service accounts create persistent risk because they combine standing access, weak ownership, and broad lateral movement potential. When those accounts are not tightly reviewed, an attacker or insider can move from a small foothold to broader cloud access. The issue is not only permission size, but how long that privilege remains valid.
Q: How can teams tell whether access governance is actually working?
A: Look for short revocation times, low rates of stale entitlements, and repeatable access review outcomes across systems. If accounts remain active after role changes or offboarding, governance is not effective. Good measurement focuses on whether access is removed when it stops being justified.
Q: When should organisations replace standing privilege with just-in-time access?
A: Organisations should replace standing privilege with just-in-time access whenever elevated access is not required continuously. JIT reduces the time window in which credentials can be abused, especially for admin tasks, break-glass use, and sensitive automation. It works best when paired with approval, expiry, and logging so temporary access does not become another form of standing privilege.
Technical breakdown
Why legacy access governance fails across humans and NHIs
Legacy access governance assumes identity can be inventoried, owned, reviewed, and retired in a stable way. That works poorly once cloud estates contain service accounts, tokens, keys, and human users with different lifecycle patterns and different revocation triggers. The result is fragmented policy enforcement, where one control plane may govern users while another handles machine credentials, if it exists at all. In practice, the failure is not simply too many identities. It is that the governance model treats human accountability and machine ownership as if they were interchangeable.
Practical implication: treat human and machine access as one governance domain, not two separate policy islands.
Discovery, ownership, and lifecycle for non-human identities
NHI governance starts with knowing what exists and who owns it. That includes inactive service accounts, outdated keys, and overprivileged access, all of which become durable risk when no clear human owner is responsible for rotation or offboarding. Lifecycle management matters because machine identities do not self-correct when employees move roles, vendors change, or systems are decommissioned. Without a clean ownership chain, access reviews become theoretical and remediation stalls. NHI governance is therefore as much about accountability as it is about access.
Practical implication: map every NHI to an accountable owner and tie it to rotation, offboarding, and remediation workflows.
Why least privilege must be enforced at runtime
Least privilege is only real when the permissions in force match the task in front of the identity. In cloud-native systems, that often means just-in-time access and runtime authorization rather than standing permissions that linger between uses. The article’s logic is that static entitlements and separate tools for different identity types cannot keep pace with cloud sprawl. Once identities include both humans and machines, the control problem shifts from provisioning access to governing how access is issued, used, and removed across each session or lifecycle event.
Practical implication: move from standing access to runtime controls that validate scope at the moment access is used.
Threat narrative
Attacker objective: The objective is to retain unauthorized or excessive access to cloud resources long enough to reach sensitive data, infrastructure, or both.
- Entry occurs when cloud access is granted to both humans and NHIs through weakly governed identity sprawl, including service accounts and outdated credentials.
- Escalation happens when overprivileged access remains in place because ownership and lifecycle workflows do not force timely review or revocation.
- Impact follows when critical systems and sensitive data stay reachable through identities that were never retired, rotated, or correctly scoped.
Breaches seen in the wild
- DeepSeek database exposure 2025: An unauthenticated DeepSeek ClickHouse database exposed over a million log lines with plaintext chat history and API keys in 2025.
- Microsoft Midnight Blizzard breach: Midnight Blizzard (APT29) exploited legacy test account without MFA to breach Microsoft.
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
Access governance has become a cross-identity discipline, not a user-only control problem. The article is pointing at a structural change in cloud estates: the same business environment now contains humans, service accounts, keys, and tokens that all require governed access. Separate policy stacks create blind spots because ownership, revocation, and review do not line up across identity types. Practitioners should treat access governance as one lifecycle problem across all identity classes.
Discovery and ownership are the real control boundary for NHI governance. The article correctly elevates inventory, accountable ownership, and lifecycle responsibility because machine identities fail differently from human users. Inactive service accounts and outdated keys do not self-correct, so governance collapses when no one is explicitly responsible for them. The practical conclusion is that ownership is not metadata; it is the prerequisite for access control.
Least privilege is no longer credible if it exists only at provisioning time. Cloud-native access patterns require runtime enforcement, especially where users, workloads, and agents all touch the same infrastructure. A policy that is valid when issued can still be wrong at the point of use if the identity’s task, context, or lifespan has changed. Practitioners need to view least privilege as a living control, not a one-time entitlement decision.
JIT access becomes more important as identity sprawl increases. Standing access across humans and NHIs creates unnecessary persistence, which makes privilege creep harder to detect and harder to unwind. The article’s direction is consistent with a broader IAM shift toward ephemeral access and tighter lifecycle governance. For security teams, the question is no longer whether to reduce standing privilege, but where the remaining long-lived access is still justified.
Identity blast radius: the real risk is not the number of identities, but how much damage any one unmanaged identity can still reach. Once access governance fails to connect ownership, review, and offboarding, a single overprivileged service account can have a larger operational impact than several human accounts combined. That is why access governance needs to be measured by reach and persistence, not just by policy existence. Practitioners should prioritise controls that shrink the blast radius of every identity class.
From our research library:
- NHIs outnumber human identities by 25x to 50x in modern enterprises, according to the Ultimate Guide to NHIs.
- 43% of security professionals are concerned about AI systems learning and reproducing sensitive information patterns from codebases, according to the State of Secrets in AppSec.
- Read next: Ultimate Guide to NHIs — Key Challenges and Risks
What this signals
Identity blast radius is the governance metric that matters most. Once humans and NHIs share the same cloud environment, the question is no longer how many identities exist but how far any one unmanaged identity can reach. A governance programme that cannot shrink that blast radius is still leaving excessive persistence in place.
Access reviews are weakest when they are treated as a human-only control. Service accounts, keys, and tokens need the same lifecycle discipline, but their ownership and revocation triggers are different enough that human-centric review cadences miss the real risk.
The practical shift is toward runtime enforcement, short-lived access, and explicit ownership for every machine identity. That combination gives teams a fighting chance to keep least privilege meaningful as cloud estates continue to expand.
For practitioners
- Build a unified identity inventory Create one inventory for users, service accounts, keys, tokens, and certificates, with explicit ownership and system context for each identity.
- Assign accountable owners to every NHI Tie each service account or machine credential to a named owner responsible for rotation, offboarding, and exception handling.
- Review overprivileged access by task scope Compare current entitlements to actual workloads and workflows, then remove access that persists beyond the task or system boundary.
- Automate rotation and offboarding workflows Use lifecycle workflows that force secret rotation, disable inactive accounts, and revoke access when services are retired or reassigned.
- Move high-risk access to just-in-time controls Reserve standing access for narrowly justified cases and issue time-bound access only when a task requires it.
Key takeaways
- Access governance now has to cover users and machine identities in one model, because separate control paths leave gaps that attackers can exploit.
- The article ties the risk to concrete failure points such as inactive service accounts, outdated keys, and overprivileged access, not just abstract policy drift.
- The control answer is better ownership, lifecycle management, and runtime enforcement so that least privilege still holds when cloud access changes faster than reviews do.
Key terms
- Non-Human Identity (NHI): A digital identity assigned to a non-human entity such as a software application, service account, API key, bot, machine, or AI agent that enables it to authenticate and interact with systems without direct human involvement. NHIs now outnumber human identities in most enterprises by 25 to 50 times.
- Standing Privilege: Standing privilege is access that remains active even when no immediate task requires it. For NHI programmes, it is a common failure mode because long-lived credentials and persistent roles create unnecessary exposure. Reducing standing privilege usually means tighter expiry, on-demand access, and clearer review of who or what still needs access.
- Just-in-Time Access Request: Just-in-Time Access Request is a pattern that grants access only when it is needed and only for the duration required. It reduces standing privilege by making access temporary, policy driven, and task scoped. This approach is especially useful for contractors, sensitive systems, and short-lived operational work.
- Identity Blast Radius: The amount of damage a compromised identity can cause across systems, data, and infrastructure. In NHI environments, it is shaped by permissions, network reach, and administrative capability rather than by the credential alone. Reducing blast radius is a containment strategy that limits lateral movement and data exposure.
What's in the full article
P0 Security's full article covers the operational detail this post intentionally leaves for the source:
- Best-practice guidance on discovery and ownership for humans and NHIs across cloud estates
- A short set of governance recommendations for service owners handling rotation, onboarding, and offboarding
- The article’s own framing of access governance, least privilege, and cloud-native identity risk
- Practical context for why Cybersecurity Awareness Month is used as the timing for these recommendations
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 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