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XVault
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AI-augmented GRC consultancy

Compliance and risk programs, shipped as infrastructure.

Governance, risk, and compliance — including third-party risk — delivered as code, automation, and AI agents, designed to operate continuously, not just survive the next audit.

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Services

Two practice areas, end-to-end.

How an engagement runs

  • Governance, Risk & Compliance

    GRC consulting that turns policy into practice — governance structures, risk assessments, and compliance programs designed around how your platform actually operates. Includes third-party risk: vendor and supplier assessments with continuous monitoring, so a change in a vendor's risk posture surfaces when it happens, not at the next annual review.

    • Governance structure and a policy set your team will actually read
    • Risk register with named owners and a review cadence
    • Control mapping across every regime the platform operates under
    • Vendor and supplier assessments with continuous monitoring

  • AI Automation

    AI agents and automated workflows for the operational work that slows teams down — evidence collection, questionnaires, reviews, and the repetitive steps between them — built to run inside your existing systems with the controls a regulated business needs.

    • Evidence collection that runs on every deploy
    • Questionnaire and review agents inside your ticketing
    • Integrations with the systems you already run
    • Audit trail, approvals, and access scoping on every agent

The shift

Collected every cycle. Or emitted every deploy.

The same control, expressed two ways. Only one of them survives contact with a team that ships weekly.

evidence/assembled by hand
access-review-Q3-final-v2.xlsxowner unclearbucket-policy-screenshot.pngcaptured 94 days agovendor-questionnaires/41 files, 3 ownersretention-matrix-DRAFT.docxlast edit: previous audit
4 artifacts · point-in-time · re-gathered every cycle
controls/retention.yamlenforced
control: data-retentionapplies_to: [warehouse, object-store, backups]enforced_by: pipelineevidence: emitted on every deployon_drift: fail closed
1 definition · continuous · evidence is a by-product

In summary: four hand-collected artifacts, each valid only at the moment it was captured, are replaced by a single control definition the pipeline enforces on every deploy and which emits its own evidence.

How we work

A four-phase rhythm.

Every engagement moves through the same four steps. The last one is the point.

  1. Assess

    Map the real constraint, the regimes in play, and where the gaps are.

  2. Design

    Define controls and architecture that fit how your team already ships.

  3. Implement

    Build the automation, integrations, and infrastructure that make the controls real.

  4. Operate

    Hand over a program that runs itself between audits and that the team can maintain.

Why XVault

Built for platforms where compliance and engineering ship together.

Compliance, designed-in
Compliance and risk programs designed to satisfy the regimes your platform actually operates under — built into the architecture, not bolted on afterwards.
AI-augmented engineering
Modern stacks, not deck-ware. Compliance is delivered alongside the infrastructure, automation, and integrations that make it operational.
Cross-border by default
Programs designed to satisfy multiple regulatory regimes in one motion — not assembled in one and translated for the others.

Operating at the intersection of compliance and engineering.

The practice is selective and runs through trusted referrals.

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