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A practical guide series for defense contractors turning Zero Trust goals into explicit access decisions, measurable controls, and reusable evidence. Start with the strategy, then connect architecture to GovCon cybersecurity and compliance.
Zero Trust is easy to reduce to identity products and network diagrams. The real operating question is whether each access decision has an authority, resource, policy, signal, owner, result, and reviewable record.
Begin with the seven pillars and the contractor priority model. Then go deeper on CUI boundaries, cloud architecture, controls, monitoring, and audit evidence.
Read the Main GuideName the contract, policy, data, users, systems, and customer direction.
Connect identities and devices to applications, workloads, data, and network paths.
Use current context, minimum privilege, explicit deny conditions, and expiring exceptions.
Test decisions, assign telemetry, preserve results, and review control performance.
Featured Guides
Pillar Guide | Cybersecurity
The DoD Zero Trust Strategy is not a shopping list. It is an operating model for making every access decision explicit, observable, and defensible. This guide translates its goals and seven pillars into a contractor execution sequence.
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Supporting Guide | Cybersecurity Compliance
A practical guide for federal contractors designing secure cloud architecture for CUI, DFARS 252.204-7012, CMMC, NIST SP 800-171, FedRAMP, external providers, and assessment evidence.
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Supporting Guide | GovCon Cybersecurity
NIST SP 800-171 is not a certificate or a product. It is the 110 requirements that decide whether you can hold Controlled Unclassified Information. This guide explains the standard, the 14 families, how SPRS scoring works, what Rev 3 changes, and the order to work the controls in.
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Supporting Guide | GovCon Cybersecurity
CMMC Level 2 is not a document exercise. This walkthrough shows how 110 NIST requirements become a scoped operating system with owners, mechanisms, records, and evidence that survives assessment.
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Supporting Guide | AI Workflow Automation
A practical production assurance model for tracking AI workflow performance, drift, data freshness, tool behavior, human overrides, alerts, recovery, and business value.
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Supporting Guide | AI Workflow Automation
A practical guide to structured workflow events, correlation, AI decision evidence, human approval records, protected logs, and independent audit reconstruction.
Read articleGS Consulting helps contractors map the authority, resources, decisions, telemetry, exceptions, and evidence before products harden into the architecture.
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