Cybersecurity risk mitigation in 2024-25 needs NHI governance

At a glance

What this is: This is Entro Security's 2024-25 risk-mitigation analysis, which says AI-driven threats, third-party exposure, and expanding non-human identity sprawl are converging on the same weak points: secrets, visibility, and privilege control.

Why it matters: It matters because IAM, PAM, and NHI programmes now have to govern machine access as a first-class risk surface, not as an edge case hidden inside operations or cloud engineering.

Context

Cybersecurity risk mitigation is becoming an identity problem as much as a perimeter problem. When service accounts, API keys, tokens, and certificates outnumber human accounts, the attack surface is defined by how those credentials are issued, monitored, rotated, and retired.

Entro Security's article argues that AI-assisted attacks, third-party breaches, and non-human identity sprawl are all increasing the pressure on existing controls. The governance gap is not simply missing tools, but identity programmes that still assume access is relatively static and human-paced.

For IAM and security teams, that changes the question from how to protect accounts in isolation to how to govern machine access across its full lifecycle. The practical issue is whether organisations can keep secrets, privileges, and offboarding aligned as environments become more automated and more distributed.

Key questions

Q: What problem does ownership attribution solve for service accounts and API keys?

A: It closes the gap between exposure detection and accountable remediation. Many organisations can find the secret, but not the human who introduced it, maintains it, or can safely replace it. Ownership attribution gives security teams a practical way to assign action without relying on informal knowledge that disappears during staff changes.

Q: Why do non-human identities create more risk than many human accounts?

A: NHIs often outnumber human users, have broader permissions, and operate with less day-to-day review. That combination increases the chance that a single exposed secret or delegated token can be reused across systems without detection. The risk is not just compromise, but silent persistence inside automated workflows and third-party integrations.

Q: How do organisations decide whether to prioritise secrets management or access governance first?

A: Organisations should treat them as linked controls, but prioritise the use case with the highest blast radius. If access can be reused broadly across SaaS, developer tooling, or AI workflows, governance over entitlement scope and revocation should come before adding more secret storage layers.

Q: What should organisations do when a third-party identity is no longer needed?

A: Organisations should revoke the credential, remove the associated permissions, and verify that dependent systems no longer rely on the identity before the relationship ends. Third-party accounts are risky when offboarding is delayed, because their original approval can outlive the business need. The safest posture is to tie access removal to contract and workflow closure.

Technical breakdown

Why non-human identity sprawl changes the attack surface

Non-human identities include service accounts, API keys, tokens, and certificates that allow software to authenticate and act. The security problem is that these credentials often accumulate faster than organisations can inventory them, especially across cloud and multi-cloud environments. Once that happens, standing access and weak ownership turn routine machine access into a persistent exposure layer. Traditional IAM programmes tend to focus on human authentication events, but NHI risk is driven by lifecycle state, privilege scope, and secret hygiene. When those controls are fragmented, attackers do not need to defeat a person directly; they only need to find an unmanaged credential path.

Practical implication: Map every machine identity to an owner, purpose, and expiry condition before you try to optimise its permissions.

How secrets become the control plane for compromise

Secrets management is the operational layer that determines whether machine identities remain trustworthy over time. If API keys or tokens are exposed in repositories, logs, CI pipelines, or vendor integrations, the compromise is often immediate because the secret itself is the authenticator. Rotation helps only when it is tied to discovery, usage tracking, and revocation across the full environment. The article's emphasis on automated discovery and remediation reflects a basic reality: unmanaged secrets can persist in places that human review never reliably reaches. In practice, the control problem is not whether a secret exists, but whether its exposure window is visible and bounded.

Practical implication: Prioritise discovery, rotation, and revocation together so exposed secrets do not survive long enough to be reused.

Why overprivilege and lifecycle gaps amplify third-party risk

Third-party access becomes dangerous when vendor credentials inherit broad permissions and remain active after the original business need changes. That creates a governance failure in both offboarding and privilege design, because the identity outlives the accountability model. The same pattern applies to service accounts used in automation: if permissions are granted once and never revisited, the resulting standing privilege can be abused later by attackers or insiders. NHI governance therefore has to treat lifecycle management as a security control, not just an administrative task. The point is not merely to have an inventory, but to keep access scope continuously tied to current business context.

Practical implication: Review third-party and service-account permissions on a lifecycle basis, not only when incidents force a cleanup.

Threat narrative

Attacker objective: The attacker aims to turn machine access into durable control over data, systems, or business operations while avoiding the friction of direct human compromise.

1. Entry begins when attackers exploit exposed secrets, stolen credentials, or over-permissioned third-party access to reach systems that rely on non-human identities.
2. Credential access and abuse follow when those secrets or tokens are reused against service accounts, APIs, or connected platforms that were never tightly scoped.
3. Escalation occurs when broad machine permissions let the attacker move from one system to another, or use a compromised identity to reach higher-value data and infrastructure.
4. Impact arrives as data theft, ransomware encryption, operational disruption, or reputational damage once machine access is leveraged at scale.

Breaches seen in the wild

• Sisense breach 2024: A credential in Sisense's GitLab reportedly opened S3 buckets of customer tokens, passwords and certificates; CISA urged a full reset.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Non-human identity sprawl is now a governance problem, not just a discovery problem. The article correctly treats service accounts, API keys, and tokens as the real control surface because those identities now sit inside business-critical workflows. Once machine identities outnumber human accounts, IAM maturity depends on whether ownership, purpose, and expiry are actually enforced. Practitioners should judge NHI governance by lifecycle discipline, not by whether they have a list.

Secrets management is the practical boundary between controlled automation and latent compromise. A credential that can be copied into code, logs, or pipelines has already escaped the policy model, even if it has not been abused yet. That is why discovery, rotation, and revocation have to be treated as one operating model rather than separate projects. The implication for teams is simple: if secret exposure cannot be bounded, access control is only partially real.

Third-party access without lifecycle offboarding is a standing-risk pattern. Vendor relationships change faster than many access reviews, but the credentials rarely age out at the same speed. The result is accountability drift, where the original approval is still technically valid even though the business relationship has moved on. Security teams need to recognize this as an access-governance failure, not merely a vendor-management oversight.

Automated lifecycle management is becoming the minimum viable control for machine identities. Manual provisioning and manual expiry checks do not scale against the rate at which machine identities are created and forgotten. The article's emphasis on automated discovery, rotation, and decommissioning reflects where the market is headed: controls will be judged by whether they can keep pace with machine-scale change. The practitioner takeaway is to make lifecycle automation the default state for NHIs, not an exception.

What this signals

Ephemeral access is only safe when it is also discoverable. A short-lived credential still becomes a governance problem if teams cannot reliably see where it was issued, where it was used, and whether it was revoked. For IAM and NHI programmes, visibility is not a reporting layer, it is what makes lifecycle control enforceable.

Machine identities need the same ownership discipline as privileged human accounts. When service accounts are created faster than they are reviewed, organisations accumulate hidden dependencies that survive project changes and vendor transitions. The programme implication is to treat every NHI as an owned asset with a retirement path, not as a technical artifact left to the platform team.

Identity lifecycle automation is the likely default model for 2024-25. Manual handling cannot keep pace with the volume of secrets, integrations, and cloud workloads now in play, so the practical benchmark shifts to whether discovery, rotation, and decommissioning happen without relying on memory or spreadsheet oversight. The teams that move first will reduce both exposure windows and audit friction.

For practitioners

• Build a complete NHI inventory Catalogue service accounts, API keys, tokens, and certificates by owner, business purpose, environment, and expiry condition so no machine identity is left unaccounted for.
• Tie secrets rotation to discovery Automate discovery of exposed secrets across source code, logs, CI/CD pipelines, and cloud services, then revoke or rotate them through the same workflow.
• Reduce standing privilege for machine identities Remove broad default permissions from service accounts and require scope to match the current workload, vendor task, or integration need.
• Harden third-party access offboarding Track vendor and partner credentials separately from internal accounts so access is removed when the relationship or use case ends, not when someone notices it later.
• Automate NHI lifecycle retirement Use policy-driven expiry and decommissioning for unused identities so abandoned credentials do not remain available as silent entry points.

Key takeaways

• The article frames 2024-25 cyber risk as an identity governance issue because NHI sprawl, exposed secrets, and overprivilege create durable attack paths.
• Its examples show how ransomware, third-party access, and operational disruption can all be amplified when machine identities are poorly controlled.
• The most effective response is to treat discovery, rotation, least privilege, and offboarding as one lifecycle control model for machine access.

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.
• Secrets Management: The discipline of securely storing, distributing, rotating, and auditing secrets across an organisation's systems and pipelines, typically implemented via a centralised secrets vault such as HashiCorp Vault, AWS Secrets Manager, or Akeyless.
• 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.
• Lifecycle Offboarding: Lifecycle offboarding is the process of removing an identity when it is no longer needed or no longer under the original owner’s control. In NHI programmes, it applies to service accounts and integrations as well as people, and it is essential for preventing stale access from surviving ownership changes.

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.