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Architecture & Implementation

Current Architecture

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By NHI Mgmt Group Updated August 27, 2026 Domain: Architecture & Implementation

The current architecture is the real, observed structure of a codebase at a point in time. It shows which components exist and how they depend on one another. In governance workflows, it acts as the factual baseline for detecting drift, boundary violations, and other deviations from the design intent.

Expanded Definition

Current architecture is the factual, point-in-time view of what a system actually contains and how those components depend on each other. In NHI and IAM governance, it is distinct from intended architecture, which describes how the environment was designed to work. The current architecture is used to detect drift, shadow dependencies, orphaned service accounts, and trust boundaries that no longer match operational reality.

Definitions vary across vendors on whether current architecture is captured from source code, deployment manifests, runtime telemetry, or all three. In practice, NHI security teams treat it as the most defensible baseline for enforcing least privilege, validating secret exposure paths, and checking whether an AI agent or service account has gained unintended execution authority. That makes it especially useful when paired with Zero Trust and configuration review processes described in the NIST Cybersecurity Framework 2.0. The most common misapplication is treating the design diagram as current architecture, which occurs when teams ignore live dependencies introduced by CI/CD changes, hotfixes, and third-party integrations.

Examples and Use Cases

Implementing current architecture rigorously often introduces discovery and reconciliation overhead, requiring organisations to weigh accuracy against the cost of continuous inventory maintenance.

  • A security team compares runtime service-to-service calls against the intended trust model to find new paths created by a recent release.
  • An NHI program uses the current architecture to locate service accounts that still have access after an application module was retired.
  • An incident responder reviews live dependencies to determine which API keys, certificates, or tokens could be used to reach a compromised workload.
  • A platform team maps deployed containers and agents to verify whether any autonomous software entity has access outside its approved boundary.
  • An architecture review references the Ultimate Guide to NHIs alongside runtime evidence to understand where NHI controls are most often broken.

Used well, current architecture becomes a shared evidence layer for governance, operations, and audit. It also aligns with identity assurance and access validation concepts in NIST Cybersecurity Framework 2.0, especially when organisations need to prove that deployed access paths match policy.

Why It Matters in NHI Security

Current architecture matters because NHI risk is rarely confined to design-time assumptions. Real environments accumulate stale secrets, hidden integrations, and permission creep, and those changes often expose attack paths that a static diagram would miss. NHIMG research shows that 97% of NHIs carry excessive privileges, which makes an accurate current architecture essential for finding where those privileges are actually usable and where they should have been removed. The same baseline helps identify whether tokens, certificates, and service accounts are still attached to active workloads or lingering in decommissioned ones. In Zero Trust programs, current architecture is the evidence layer that shows whether trust decisions are being enforced in practice rather than merely declared in policy. The Ultimate Guide to NHIs is a useful reference for understanding why visibility and lifecycle control are inseparable from this baseline.

Organisations typically encounter the cost of current architecture only after a breach, audit failure, or failed migration, at which point the term becomes operationally unavoidable to address.

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 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-01Current architecture exposes NHI drift, orphaned identities, and hidden access paths.
NIST CSF 2.0ID.AMAsset management depends on knowing the actual system structure at a point in time.
NIST Zero Trust (SP 800-207)Zero Trust decisions require an accurate view of actual connections and trust boundaries.
NIST AI RMFAI systems must be understood as they operate, not only as designed, to manage risk.
OWASP Agentic AI Top 10A2Agentic systems can accumulate undocumented tools and permissions in current state.

Maintain a live inventory of components and dependencies to support governance and response.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on August 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org