Governance and Compliance
Governance is typically a periodic scramble before audits. NeoArc Studio embeds compliance rules, coverage reports, drift detection, and audit trails directly into the architecture model, so they run continuously and automatically.
Governance That Runs Continuously, Not Before Audits
In most organisations, governance is a periodic exercise. Before an audit, someone spends weeks gathering evidence from wikis, spreadsheets, and email threads. Gaps are discovered late. Remediation is rushed. The process repeats every quarter or year.
NeoArc takes a different approach. Governance rules are defined as part of the architecture model and evaluated continuously. Coverage reports update in real time. When a new component is added without governance coverage, it is flagged immediately, not months later during audit preparation.
How Governance Works in NeoArc
NeoArc treats governance as a graph relationship. A governance rule is a typed node that connects to the components it governs through explicit edges. This makes governance queryable, measurable, and visual.
16 Governance Reports
NeoArc generates 16 structured reports from the live architecture model. These reports are not templates you fill in manually. They are computed from the actual architecture data and update automatically as the architecture changes.
Tamper-Evident Architecture
NeoArc computes a structural hash for every artefact based on its meaningful content. Cosmetic changes like repositioning a box on a diagram do not alter the hash. Only changes to the actual architecture, such as adding a service, changing a relationship, or modifying a property, produce a new hash.
From Reactive to Proactive
Governance Anchored to the Model
Governance rules in NeoArc attach directly to entities in the central data model through typed edges in the intent graph. This means governance is not a parallel activity disconnected from architecture work. When an architect adds a new entity to the model, coverage reports immediately flag it as ungoverned. When an entity's properties change, drift detection identifies which governance rules need re-evaluation because the system knows exactly which entities have changed since the last review. The model is the anchor. Governance follows from it automatically.