Kode-1
Case study

From data-risk findings to action in twelve weeks.

A global agribusiness company

Risk, Resilience & AssuranceSystems & Platforms
The challenge
The company knew its data risks in outline but not in the specifics that let anyone act: sensitive information — personal, financial, intellectual property, and regulated data — spread across a large estate, exposure and oversharing unquantified, and retention practices leaving redundant data accumulating risk. Four priorities were clear — classify the sensitive, identify the exposure, realign the access, retire the redundant — and the brief was equally clear: findings that turn into action, not another assessment that ends as a report.
What we did
A tool-enabled engagement designed to move from assessment to remediation inside twelve weeks. Discovery tooling was deployed against prioritised data sources confirmed at a scoping workshop, with in-scope stores discovered, categorised, classified, and labelled. Exposure and access gaps were assessed across three workstreams — data loss prevention, identity and access, and retention — with policy design settings and action plans built for each. Remediation ran on the live estate from week three, under a light-touch governance rhythm of weekly progress and risk updates.
The outcome
The engagement turns the four priorities into delivered work rather than recommendations: a categorised and classified data inventory with labelling guidance, exposure and oversharing identified and remediated as the work runs, access realigned toward least privilege, and redundant data identified for disposal. It closes with a prioritised risk-reduction roadmap, capability-uplift actions, and cost-saving opportunities — leaving the organisation with priorities actioned and a clear path for what comes next.

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