Centralised execution keeps control in one place, while federated pull mode lets external labs run tests in their own environments and submit results through shared interfaces. The second model scales participation better, but it only works when contracts, validation rules, and trust boundaries are tightly defined.
How centralised test execution differs from federated pull mode
Centralised test execution keeps scheduling, runtime control, and result collection in one trusted environment. Federated pull mode pushes the execution step out to participating labs or environments, then pulls results back through a shared interface. That shift changes who owns the runtime, how evidence is normalised, and how much trust you place in external execution environments and submission pipelines.
What changes in control, trust, and operational scaling
The main practical difference is where the control boundary sits. In centralised execution, the operator can standardise tool versions, network access, logging, and test data handling. In federated pull mode, the operator usually standardises the contract for submission and validation, while each participant controls local execution conditions. That makes the second model better for broad participation, but less uniform unless the interface and validation rules are strict.
For identity and access controls, the distinction is especially important when labs, vendors, or internal teams submit results into a shared system. A federated model often depends on authenticated submission, scoped access, and strong provenance over who ran what, where, and under which conditions. Those requirements are part of the operating model, not a bolt-on detail, because the trust boundary is wider than in centralised execution. See also the IAM and IGA Basics and the OpenID Connect Core 1.0 specification for the authentication and federation patterns that often underpin shared submission flows.
Federated pull mode also introduces more variation in evidence quality. If the contract does not tightly define schemas, timing, validation rules, and replay protection, results can become hard to compare or trust. Centralised execution reduces that variability by controlling the environment directly, but it can become a bottleneck when many outside parties need to participate or when local data, infrastructure, or regulatory constraints make remote execution impractical.
When each model breaks down
Centralised execution tends to fail when the operator becomes the throughput choke point or when external parties cannot practically bring sensitive systems into a single lab. Federated pull mode tends to fail when the shared interface is too loose, because inconsistent environments can produce misleading results or create disputes about whether a test was actually run under equivalent conditions. The security and governance problem is not the label, it is whether the submission contract is strong enough to preserve comparability and accountability.
A useful way to think about the trade-off is that centralised execution optimises consistency, while federated pull mode optimises participation and locality. If you need repeatable baselines and one source of operational truth, centralisation is usually simpler. If you need many independent contributors, distributed jurisdictional control, or local execution near protected systems, federated pull mode is often the better fit, but only if the interface is treated as a controlled trust boundary. For identity-heavy operational models, the Identity Security Programme Guide is a useful reference point for thinking about governance across central and distributed participants.
Risk and Threat Considerations
Federated pull mode increases exposure to result forgery, inconsistent execution conditions, and trust abuse if the submission path is not tightly constrained. Centralised execution reduces those risks, but concentrates operational dependency in one environment, so failure or compromise there affects the whole programme.
Failure mechanism: Weak validation, broad submission rights, or poor attestation lets untrusted or incomparable results enter the system, which can distort decisions or hide failed tests.
Impact: Teams may act on results that are incomplete, unauthorised, or not actually produced under the claimed conditions, undermining assurance and auditability.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST SP 800-53 Rev 5 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-53 Rev 5 | AC-3 — Access Enforcement | Shared result submission depends on scoped access and controlled action boundaries. |
| IA-2 — Identification and Authentication (Organizational Users) | Federated submission requires reliable authentication of participating users or operators. | |
| AU-10 — Non-repudiation | Federated results need provenance and accountability for who submitted them. | |
| Recommendation — Enforce least-privilege access on result submission and validation interfaces. Authenticate each submitting participant before accepting test results. Preserve non-repudiation evidence for submitted test outcomes. | ||
| NIST CSF 2.0 | PR.AA-05 — Identity and Access Management | Access to shared test interfaces must be governed in distributed execution models. |
| Recommendation — Restrict access to federated test interfaces to approved participants. | ||
Practitioner Guidance
What to verify: Define the minimum contract for federated submission before scaling participation. That contract should cover execution context, result schema, timestamping, signer or submitter identity, and rejection rules for malformed or out-of-policy output.
Decision rule: If the primary goal is comparability and controlled repetition, keep execution centralised. If the primary goal is participation across many independent environments, use federated pull mode only when you can validate provenance and normalise results consistently.
Practitioner takeaway: The model choice is really a trust-boundary choice, centralised execution buys control, while federated pull mode buys scale only when the submission interface is strict enough to preserve evidence quality.
Related resources from NHI Mgmt Group
- What is the difference between attack surface management and NHI governance?
- What is the difference between reviewing human access and reviewing NHIs?
- What is the difference between role-based access and API key governance for NHI security?
- What is the difference between human IAM controls and NHI governance?
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Reviewed and updated by the NHIMG editorial team on October 11, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org