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Production-grade Zero Trust architecture and DevSecOps across AWS, Azure and GCP, with Infrastructure-as-Code deployment and the continuous telemetry that a modern authorization depends on.
The control is implemented. The question is whether the architecture can demonstrate that, continuously, without someone assembling screenshots the week before an assessment. Systems designed to emit evidence pass assessments cheaply. Systems that were not end up paying for the same proof over and over.
That distinction is the whole argument for engineering the boundary rather than documenting it. Policy enforced in code produces a log. A log feeds telemetry. Telemetry feeds the Key Security Indicators that FedRAMP 20x expects and the continuous authorization posture that DoD programs are moving toward. Build the architecture so the evidence falls out of normal operation and compliance stops being a separate project.
They were different conversations five years ago. They are not now. The identity verification, micro-segmentation, workload isolation and observability that Zero Trust demands are the same capabilities a risk-based authorization decision rests on. An organization that engineers one and documents the other separately is paying twice for a single architecture.
For defense components this has a date attached. The DoD Zero Trust Reference Architecture defines 152 discrete capability outcomes across seven pillars, with target-level capability required by the end of FY2027. Each outcome needs a technical control, a policy configuration and evidence it works. For everyone else the deadline is commercial rather than regulatory, but the architecture is the same.
Engineering
Zero Trust without automation is a slide deck. Automation without an evidence model is speed toward an assessment you will still fail. These tend to be one engagement.
Seven pillars, 152 outcomes
Federal and commercial
Teams shipping continuously
Programs past their first assessment
Pillars
The pillars are where most programs discover the work is uneven. Identity and device are usually further along than data and automation, and the last two are where the outcomes concentrate.
| Pillar | What gets engineered |
|---|---|
| User | Identity verification, multi-factor authentication and continuous validation, with ICAM enforcing least privilege at every transaction rather than at login. |
| Device | Health attestation, endpoint detection and response, and access policy that reads device posture before it grants anything. |
| Network | Micro-segmentation, software defined perimeters and encrypted transit, removing the implicit trust zone that flat networks depend on. |
| Application and workload | Application-level authentication, container security and workload isolation, enforced from commit through production. |
| Data | Classification, encryption at rest and in transit, and loss prevention that follows the data rather than the perimeter around it. |
| Visibility and analytics | SIEM, behaviour analytics and detection, which is also the layer that produces authorization evidence as a byproduct. |
| Automation and orchestration | Policy as code and automated response, closing the enforcement loop that makes the other six pillars hold under load. |
Next step
It starts with a gap analysis at no cost, and a scoped proposal follows.
