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Operational Systems Studio · Dubai, UAE

Services/Private & Sovereign AI/AI Data Exposure Assessment

Service · Assessment

P0Flagship

AI Data Exposure Assessment.

Every business has data leaving to external AI now. Some of it is sanctioned. Most of it isn't. In two to three weeks we tell you exactly where, quantify the exposure, map it to the regulations that apply, and hand you a remediation plan that respects how your teams already work.

Outcomes

What changes when the engagement lands.

Honest exposure register

Every path your data takes to external AI — approved and unapproved — documented, sized, and understood.

Regulatory posture read

How your current AI usage sits against GCC PDPL, EU AI Act deployer obligations, and sectoral rules.

Prioritised remediation plan

The specific fixes worth doing first, ranked by risk exposure and effort.

Board-ready position paper

A document the executive team can present to the board or auditor without translation.

Deliverables

What's in the engagement.

A two- to three-week structured assessment of where your data leaves the environment via external LLMs today — sanctioned use, shadow usage, third-party tooling. Delivered as an exposure register, regulatory gap read, and remediation plan.

Exposure register

Every AI tool, integration, and workflow that sends data out. Sanctioned use and shadow use captured together.

Data category mapping

Which data categories are flowing where. PII, financial, health, IP — each traced to a destination.

Regulatory gap read

Applied against GCC PDPL, EU AI Act, and any sectoral regime relevant to your business.

Remediation plan

Prioritised fix list. What to close now, what to redirect through a gateway, what to formalise as policy.

How we deliver

Fixed scope. Named phases. Duration on the cover.

The engagement is priced against the outcome, not open-ended hours. Every phase has a duration, a named deliverable, and a check-out.

Total duration2 to 3 weeks

Sales cycle3 to 6 weeks

  1. 01Days 1 to 2

    Access

    Executive interview. Access to tooling registers, security logs, and network egress samples.

  2. 02Days 3 to 9

    Discovery

    Structured interviews across departments. Shadow-tool discovery. Data flow mapping.

  3. 03Days 10 to 12

    Regulatory mapping

    Exposure mapped against applicable regimes. Gap analysis.

  4. 04Days 13 to 15

    Read-out

    Written deliverable. Executive read-out. Board-ready position paper.

Built for

Buyers this engagement fits.

Typical buyer

CISO, CTO, Chief Data Officer, Head of Risk

  • CISOs whose staff use ChatGPT for work already

    The tool is in the building whether policy allows it or not. The assessment tells you what's already moved through it.

  • Regulated businesses with an audit horizon

    An external auditor is going to ask about AI data flows soon. Have the answer before the question.

  • Chief Data Officers under pressure to enable AI safely

    The business wants speed. Risk wants control. The assessment gives you the map that lets you agree what safe looks like.

Talk to us.

45 minutes on your operation and the engagement you have in mind. No pitch, no deck.

Emailhello@plaith.io

ResponseWithin one business day

ReferenceService code P0

Lead intake

Request a briefing

A 45-minute call. No pitch, no deck. We ask the questions we'd ask a Discovery client and tell you honestly whether this is the right next move.

Tagged internally as P0 — AI Data Exposure Assessment. We reply from hello@plaith.io.