TL;DR: API-heavy delivery has made traditional end-of-pipeline security too slow for modern release cycles, and LEVO argues that DevSecOps must embed testing, monitoring, and visibility directly into CI/CD to reduce exposure. The governance shift is no longer optional: security has to operate at the pace of software delivery, with APIs treated as first-class attack surfaces.
At a glance
What this is: LEVO says DevSecOps for API-heavy delivery is now a governance requirement because API exposure and breach patterns outpaced traditional end-of-pipeline security.
Why it matters: IAM, API security, and NHI practitioners need to treat API visibility, authentication, and runtime monitoring as continuous controls inside delivery pipelines, not post-release checks.
By the numbers:
- Over 90% of internet-facing applications expose APIs.
- More than 70% of security breaches involve APIs.
Context
API-heavy delivery changes the control problem because the application boundary is now a moving target. When microservices, cloud-native deployments, and third-party integrations multiply interfaces, security models that assume a stable perimeter lose coverage quickly.
For identity and access teams, APIs also become the control plane for service accounts, tokens, and delegated access. That makes DevSecOps relevant to NHI governance as well as application security, because authentication, authorisation, and secret handling now sit inside the delivery workflow rather than beside it.
LEVO's article frames this as a shift from static review to continuous governance. That starting position is typical in modern API-driven delivery, not an edge case.
Key questions
Q: What breaks when API security is not built into CI/CD pipelines?
A: Teams lose the ability to catch authorization flaws, schema abuse, and unsafe configuration changes before release. In practice, that means broken object-level authorization, overexposed fields, and forgotten endpoints can reach production and stay there long enough to be exploited. The failure is not only technical. It is governance drift between development speed and control coverage.
Q: Why do service account tokens in pipelines create so much residual risk?
A: Because they often outlive the job that created them and are broader than the task needs. If a token sits in a CI/CD variable or config file, anyone who reaches that environment can inherit access long after the original work is finished. That turns ordinary build automation into durable cloud exposure.
Q: How can security teams tell whether DevSecOps is actually reducing API exposure?
A: They should look for continuous coverage across discovery, testing, and runtime monitoring rather than counting one-off scans. If shadow APIs remain undiscovered, auth failures recur in production, or runtime anomalies are not fed back into pipeline controls, the programme is not delivering real governance. Effective DevSecOps makes exposure measurable at each release.
A: They should automate control enforcement inside CI/CD so security and compliance checks move with the release process. That means versioned policies, automated authentication testing, continuous inventory, and runtime visibility. The point is not to add more gates, but to make governance executable at the same speed as software delivery.
Technical breakdown
Why API-heavy pipelines outgrow perimeter security
Perimeter-based security assumes there is a clear inside and outside to defend, but API-centric systems break that assumption. Microservices, partner integrations, and cloud-native release patterns create many small trust boundaries that change with each build. In practice, the security team is no longer protecting a single application endpoint, but a live mesh of interfaces, identities, and data flows. That means controls must move closer to code, build, deploy, and runtime stages where the attack surface is created, not just observed.
Practical implication: map API exposure and trust boundaries continuously, not only after deployment.
How DevSecOps embeds API security into CI/CD
DevSecOps turns security into an automated control layer inside the delivery pipeline. Static analysis, dynamic testing, schema validation, secret scanning, and runtime monitoring each answer a different question: what is in the code, what breaks in execution, what changes between environments, and what happens in production traffic. For APIs, this matters because auth flaws, misconfigurations, and logic abuse often emerge only when services are wired together. The governance gain is that security checks become part of the release process rather than an approval gate at the end.
Practical implication: place API testing and runtime checks at build and deploy stages, not after release.
Why NHI governance is part of DevSecOps for APIs
APIs are authenticated by machine identities, not just human users. Service accounts, tokens, and secrets become the practical enforcement layer for every API call, which means NHI governance is inseparable from API security in delivery pipelines. If those identities are overprivileged, long-lived, or insufficiently inventoried, the pipeline can ship insecure access patterns at scale. This is where governance shifts from policy text to lifecycle control: issuance, scope, monitoring, rotation, and revocation all need to be visible inside the same workflows that release code.
Practical implication: govern API credentials as NHIs with lifecycle, scope, and rotation controls.
Threat narrative
Attacker objective: The objective is to use API trust gaps and machine-credential weaknesses to reach data, functions, or downstream systems at production speed.
- Entry begins when exposed APIs, shadow APIs, or weakly tested interfaces are reachable through internet-facing delivery paths or third-party integrations.
- Credential access or abuse occurs when tokens, service accounts, or authentication logic are accepted without enough validation, letting attackers act as trusted machine identities.
- Escalation follows when the attacker uses API trust relationships or overprivileged access to move from a single interface into broader application or data access.
- Impact is data exposure, business logic abuse, or breach propagation across connected services that were assumed to be protected by pipeline controls.
Breaches seen in the wild
- Palo Alto Networks Salesforce data theft 2025: Stolen Drift OAuth tokens exposed Palo Alto Networks CRM data, including support notes where some customers had shared credentials.
- Salesloft OAuth token breach: hackers stole OAuth tokens to access Salesforce data via Salesloft.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
API security is now a delivery governance problem, not a late-stage testing problem. Once APIs become the main application interface, the old model of checking security after development finishes no longer matches the threat surface. The meaningful control point shifts into build, deploy, and runtime workflows where interfaces are created and changed. Practitioners should treat API governance as part of software delivery design, not a separate review lane.
Machine identities are the hidden governance layer behind every API pipeline. Service accounts, API keys, and tokens determine whether an interface is trusted, yet they are often managed as engineering details instead of governed identities. That creates a control gap between application teams and identity teams. For NHI governance, the problem is not just exposure, but unmanaged authority embedded in the delivery path.
Continuous visibility is the real control objective in API-heavy environments. The article points to real-time discovery, testing, and monitoring because static scans alone cannot keep pace with microservices and shadow APIs. That aligns with a broader shift in cyber governance toward continuous assurance rather than periodic compliance checks. Practitioners should anchor policy to live inventory, live authentication paths, and live runtime behaviour.
Security-as-code becomes mandatory when compliance must keep up with release velocity. When control logic is versioned, tested, and deployed with the application, governance can travel at the same speed as engineering. That is especially relevant where API access depends on secrets, tokens, and service accounts that change as often as code. Teams should move compliance checks into the same pipeline stage as security testing.
Named concept: API delivery blind spots. This article describes the gap between rapid software delivery and the slower security controls still used to govern interfaces. That blind spot is where shadow APIs, weak authentication, and overexposed machine credentials become durable risk. Practitioners should reduce it by governing the interface inventory as a living control surface, not a one-time project.
From our research library:
- 92% of organisations expose NHIs to third parties, raising concerns about supply chain security, according to the Ultimate Guide to NHIs.
- Read next: Third-Party, B2B and Contractor Access Guide
What this signals
API delivery blind spots: the practical governance issue is no longer whether an organisation has API security tooling, but whether it can keep an accurate, living view of interfaces, credentials, and runtime behaviour as releases accelerate. When inventory, testing, and monitoring move out of step with delivery, the programme loses control of the attack surface before production ever starts.
For identity teams, the important change is that machine identities now sit directly inside the software release path. That means service accounts, tokens, and secrets need the same lifecycle discipline as human access, with ownership, scope, rotation, and revocation tied to deployment events rather than calendar review cycles.
For practitioners
- Treat APIs as governed assets Maintain a real-time inventory of internal, partner, and shadow APIs so ownership, authentication method, and exposure level are always visible.
- Embed API security checks in CI/CD Run schema validation, auth testing, and secret scanning before deployment so failures are caught while code is still moving through the pipeline.
- Govern service accounts and tokens as NHIs Apply lifecycle controls to API credentials, including least privilege, rotation, and revocation when a service or integration changes.
- Monitor runtime traffic for abuse patterns Detect anomalies such as privilege escalation, access violations, or logic abuse in production traffic, and feed those findings back into pipeline controls.
Key takeaways
- API-heavy delivery exposes a control gap between rapid software release and slower security review, especially where APIs are the primary access path.
- The operational risk is amplified because API access is enforced by machine identities, tokens, and secrets that can spread through connected services.
- The practical response is to move discovery, authentication testing, runtime monitoring, and credential governance into CI/CD workflows.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP API Security Top 10, OWASP Non-Human Identity Top 10 and MITRE ATT&CK address the attack and risk surface, while CIS Controls v8 sets the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP API Security Top 10 | API2 — Broken Authentication | The article centres on API authentication testing and exposure in delivery pipelines. |
| Recommendation — Test API authentication paths continuously and block releases that weaken machine trust. | ||
| OWASP Non-Human Identity Top 10 | NHI-04 — Insecure Authentication | Service accounts, tokens, and secrets are the machine identities governing API access. |
| NHI-07 — Long-Lived Secrets | The article highlights secrets and tokens that must be managed inside CI/CD rather than left static. | |
| Recommendation — Apply NHI-04 controls to verify API credential flows, ownership, and authentication strength. Shorten API credential lifetimes and automate rotation before release. | ||
| MITRE ATT&CK | TA0006;TA0008 — Credential Access; Lateral Movement | The breach pattern relies on stolen tokens and trust chaining across connected services. |
| Recommendation — Map API token abuse to TA0006 and TA0008, then hunt for connected-service movement. | ||
| CIS Controls v8 | CIS-5 — Account Management | API credentials and service accounts require lifecycle governance and ownership control. |
| Recommendation — Use account management controls to inventory and revoke stale API identities. | ||
Key terms
- DevSecOps: A software development approach that integrates security practices, including NHI governance, secrets scanning, and secure credential handling, throughout the CI/CD pipeline rather than treating security as a post-deployment activity.
- API security testing: API security testing is the process of checking whether application programming interfaces can be abused, exposed, or manipulated by unauthorized users or software. It examines authentication, authorization, input handling, rate limits, data exposure, and business logic, using manual review and automated tests to find weaknesses before attackers or faulty integrations exploit them.
- Machine Identity: The digital identity of a machine, device, or workload, such as a server, container, or VM, used to authenticate it within a network. Sometimes used interchangeably with NHI, though NHI is the broader category.
- Shift Left: Shift left is the practice of moving security checks earlier in the software development lifecycle, usually into planning, code review, or build steps. It reduces some defects before deployment, but by itself it does not control runtime behaviour, identity sprawl, or secrets misuse after release.
Deepen your knowledge
NHI Foundation Level course, the industry's only accredited NHI security programme, covers NHI governance, machine identity security, and secrets management in practical terms. It is designed for practitioners who need identity controls to keep pace with modern delivery and access models.
Published by the NHIMG editorial team on September 6, 2026.
Updated on October 11, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org