Security teams should inventory every non-human connection, classify its business purpose, and restrict each one to the minimum access needed. Continuous monitoring matters because risky integrations often emerge after setup through new permissions, suspicious source locations, or unused tokens. Strong governance combines discovery, least privilege, and rapid revocation when a connection becomes unnecessary or abnormal.
Why This Matters for Security Teams
App-to-app connections are now the control plane for cloud-first operations, but they are often governed like static IT accounts. That breaks down quickly when integrations are created by automation, reused across teams, or left active after a project ends. NHI Management Group’s Top 10 NHI Issues and the NIST Cybersecurity Framework 2.0 both point toward the same operational reality: discovery, ownership, and least privilege must happen continuously, not just at onboarding.
The risk is not limited to overbroad permissions. Application links frequently depend on long-lived secrets, inherited roles, and undocumented trust paths that are hard to review after deployment. Once a connection can reach storage, messaging, CI/CD, or data APIs, it can become the shortest path to lateral movement if it is compromised. The strongest governance starts by treating every machine-to-machine trust relationship as an asset with an owner, purpose, and expiry.
In practice, many security teams discover dangerous integrations only after a breach review reveals unused tokens, orphaned service accounts, or a privileged path no one remembered approving.
How It Works in Practice
Effective governance starts with inventorying every non-human connection, then classifying each one by workload, data sensitivity, and business function. That inventory should include service accounts, OAuth apps, API keys, workload identities, certificates, and agent-to-tool permissions. The Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is useful here because lifecycle controls matter as much as initial provisioning.
From there, teams should move away from static entitlements and toward narrow, task-specific access. Current guidance suggests a layered model: workload identity to prove what the application is, policy-based authorisation to decide what it may do, and short-lived credentials to minimise blast radius. In practice, that means using identity providers, secret managers, cloud IAM, and policy engines together instead of relying on one control. Standards such as NIST CSF 2.0 help structure the governance work, while NHI programmes should also align with access review, rotation, and revocation workflows.
- Assign a named business owner for every integration.
- Tag each connection with system, data class, environment, and expiry.
- Issue credentials only when a task or workflow needs them.
- Prefer short-lived tokens and certificates over static secrets.
- Alert on new source locations, unusual API calls, and permission drift.
- Revoke access automatically when the integration is unused or decommissioned.
This works best when security and platform teams can see the same identity data and enforce policy at request time, not after the fact. These controls tend to break down in multi-cloud estates with ad hoc SaaS integrations because ownership is fragmented and the same connection is often duplicated across environments.
Common Variations and Edge Cases
Tighter app-to-app control often increases operational overhead, requiring organisations to balance security gains against deployment speed and support burden. That is especially true when teams rely on CI/CD pipelines, third-party SaaS apps, or internal shared services. The 2024 Non-Human Identity Security Report from Aembit shows that many organisations still struggle with consistent access across hybrid and multi-cloud environments, which is where governance tends to become inconsistent.
There is no universal standard for exactly how to model every machine-to-machine relationship yet. Some environments can use RBAC cleanly, while others need finer-grained, context-aware rules because one application supports many workflows with different risk levels. Secrets distribution is another common edge case: some teams can eliminate static credentials quickly, while legacy systems still require transitional controls such as rotation, vaulting, and network restrictions. The Azure Key Vault privilege escalation exposure and the Snowflake breach both illustrate how hidden trust paths and exposed secrets can turn a routine integration into a major incident.
For cloud-first organisations, the practical answer is governance by lifecycle: approve, scope, monitor, rotate, and retire every app-to-app connection. Where that lifecycle is missing, teams usually inherit a pile of dormant permissions and stale tokens before they notice the exposure.
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 CSA MAESTRO address the attack and risk surface, while NIST AI RMF, NIST CSF 2.0 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-01 | Covers discovery and inventory of non-human identities and their relationships. |
| CSA MAESTRO | AI-SPM | Addresses runtime governance and control of autonomous machine identities and service access. |
| NIST AI RMF | Supports governance, mapping, and monitoring for AI-driven non-human connections. | |
| NIST CSF 2.0 | PR.AC-1 | Least-privilege access and credential management are central to app-to-app governance. |
| NIST Zero Trust (SP 800-207) | SC-3 | Zero trust principles fit dynamic trust decisions for cloud-first machine connections. |
Apply AI RMF governance to define ownership, oversight, and monitoring for automated connections.
Related resources from NHI Mgmt Group
- How should security teams govern non-human identities in cloud environments?
- How should security teams prioritise NHI remediation in cloud environments?
- How should security teams govern app identity modernization across multi-cloud environments?
- How should security teams govern third-party connections that rely on API keys and OAuth tokens in cloud environments?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 28, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
