The common mistake is assuming cloud posture controls also cover code and runtime issues. They do not. CSPM can reveal exposed storage, permissive firewall rules, and IAM problems, but it will not fully address vulnerable dependencies, API weaknesses, or insecure development practices. Teams need application-layer visibility if they want to reduce risk before software reaches production.
Why This Matters for Security Teams
Security teams often overestimate CSPM because it gives fast answers for cloud misconfiguration while leaving application risk largely untouched. That gap matters because modern breaches rarely stop at exposed storage or permissive security groups. They move through vulnerable dependencies, weak API authentication, and unsafe deployment patterns that exist outside the posture layer. NHI-driven access paths add another blind spot, especially where service-to-service credentials outlive the workload that uses them. Guidance from the NIST Cybersecurity Framework 2.0 and NHIMG research both point to the same operational reality: cloud posture is necessary, but it is not sufficient for application risk.
The most common error is treating CSPM findings as proof that the software stack is secure. In practice, CSPM can show a public bucket or weak IAM policy while missing a package with a known exploit, an unauthenticated internal API, or a build pipeline that signs and ships unsafe artifacts. That is why the Top 10 NHI Issues and the Ultimate Guide to NHIs consistently frame identity and runtime exposure as separate, compounding problems. In practice, many security teams discover the mismatch only after an application finding has already become a production incident.
How It Works in Practice
CSPM answers a narrow but useful question: is the cloud configuration aligned to policy? Application risk asks a different question: can the software be abused once it runs? Those are related, but they are not the same control domain. A secure cloud account does not prove that code is free of injection flaws, that dependencies are patched, or that APIs enforce authorization correctly. The CSA Cloud Controls Matrix helps define cloud control expectations, but it does not replace appsec, SCA, SAST, runtime protection, or secret management.
Teams that get this right usually split responsibility into layers:
- CSPM for cloud posture, exposed services, and IAM drift.
- Code and dependency scanning for vulnerable libraries and unsafe patterns.
- Runtime visibility for unusual process behavior, egress, and lateral movement.
- Secrets governance for tokens, API keys, certificates, and workload credentials.
- Identity-aware controls for service accounts and NHI access paths.
This is where NHI governance matters. Application risk often becomes cloud risk when a workload identity, CI/CD token, or API key is over-privileged and long-lived. The 2024 ESG Report: Managing Non-Human Identities notes that organisations experiencing a compromised NHI averaged 2.7 separate incidents in the past 12 months, which is a warning sign that weak identity controls amplify downstream app exposure. CSPM can flag the bucket, but it will not tell you whether the service account that writes to it should exist at all. These controls tend to break down in fast-moving CI/CD environments because posture checks run after deployment while application abuse begins at build or request time.
Common Variations and Edge Cases
Tighter cloud posture control often increases operational overhead, requiring organisations to balance faster remediation against developer friction and alert fatigue. That tradeoff is real, especially where platform teams already run CSPM, CNAPP, and vulnerability scanning in parallel. Current guidance suggests separating signal by control plane rather than piling all findings into one dashboard. If every issue is labeled “cloud risk,” teams lose the ability to distinguish infrastructure misconfiguration from code-level exposure.
There is no universal standard for this yet, but best practice is evolving toward risk-based coverage: CSPM for posture, application security tooling for code and dependencies, and runtime controls for what actually executes. The OWASP NHI Top 10 is especially useful when application workloads rely on autonomous agents or tool-using services, because those identities can create risk long after the initial deployment check passes. The practical rule is simple: if the control cannot inspect code paths, request logic, or live credential use, it cannot be treated as complete application risk coverage.
Teams also need to watch for edge cases like serverless functions, ephemeral containers, and third-party SaaS integrations, where the cloud account may look clean while the real exposure sits in tokens, event triggers, or vendor-connected identities. That is why application risk programs need their own telemetry, not just CSPM inheritance.
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, CSA MAESTRO and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | ID.RA-1 | Risk identification should cover app flaws CSPM cannot see. |
| OWASP Non-Human Identity Top 10 | NHI-01 | CSPM misses overprivileged and long-lived non-human identities. |
| CSA MAESTRO | CTRL-03 | Agentic and workload execution needs runtime governance beyond posture checks. |
| OWASP Agentic AI Top 10 | A01 | Autonomous app behavior expands risk beyond infrastructure misconfigurations. |
| NIST AI RMF | GOVERN | AI and software risk need defined accountability beyond cloud posture. |
Inventory cloud, code, and runtime risks separately before deciding which team owns remediation.
Related resources from NHI Mgmt Group
- What do teams get wrong when they treat AI security as a detection-only problem?
- What do IAM teams get wrong when they treat agentic AI as just another application?
- What do teams get wrong when they treat CBA as a complete security solution?
- What do security teams get wrong when they think access management is enough?
