Focused cybersecurity, data, and AI risk engagements that end with evidence, priorities, and practical remediation — not a shelf of generic policies.
A focused assessment of the controls most likely to create material exposure across identity, cloud, data, third parties, resilience, and AI use.
Typically commissioned by: Growing companies that need a credible baseline before customer, investor, or leadership scrutiny.
Map how personal data moves through the business, identify gaps in governance and controls, and establish a defensible operating baseline for Nigerian data-protection obligations.
Typically commissioned by: Organisations handling customer, employee, or partner data that need stronger governance and evidence.
Establish practical minimum controls across identity, endpoints, cloud, backups, incident response, vendors, and evidence collection — designed around how your team actually operates.
Typically commissioned by: Teams that have grown quickly without a formal security function or consistent control baseline.
Understand where AI is being used, what data and security risks it introduces, and what controls are needed to use it responsibly without creating unnecessary friction.
Typically commissioned by: Companies adopting generative AI, AI-enabled products, or third-party AI tools across business workflows.
Where a team needs ongoing support, Vranor can stay close to the remediation programme, review material changes, help prepare security evidence, and keep leadership informed of unresolved risk.
A new enterprise customer, a product launch, a data-protection concern, growing AI use, or simply a security programme that has not kept pace with the business.
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