sovereign_data_breach_impact
ActiveTool of gapup-mcp
Estimates financial impact of a data breach across three jurisdictions (US, EU, UK) for CFO strategic planning. Inputs include breach size, industry sector, and affected jurisdictions. Outputs include direct costs, regulatory fines, reputational damage, and cyber insurance premium adjustments. Ideal for cross-border risk assessment, financial contingency planning, and board-level reporting. Keywords: data breach cost, regulatory fines, cyber insurance, financial risk, cross-jurisdiction impact.
Parameters schema
{
"type": "object",
"required": [
"records_lost",
"jurisdictions"
],
"properties": {
"async": {
"type": "boolean",
"description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
},
"industry": {
"enum": [
"healthcare",
"financial",
"retail",
"technology",
"other"
],
"type": "string",
"description": "Industry sector of the affected organization"
},
"records_lost": {
"type": "number",
"minimum": 1,
"description": "Number of records compromised in the breach"
},
"jurisdictions": {
"type": "array",
"items": {
"enum": [
"US",
"EU",
"UK"
],
"type": "string"
},
"maxItems": 3,
"minItems": 1,
"description": "Jurisdictions where the breach has legal or financial impact"
},
"detection_time_days": {
"type": "number",
"minimum": 1,
"description": "Time in days to detect the breach"
}
}
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
gapup-mcp
https://github.com/getgapup/gapup-mcp-public
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