sovereign_data_breach_impact
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. Id...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/sovereign-data-breach-impact.md
What sovereign_data_breach_impact does on Mcp Knowledge
AI agents call sovereign_data_breach_impact to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | 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 ti |
industry | string | — | Industry sector of the affected organization |
records_lost | number | Yes | Number of records compromised in the breach |
jurisdictions | array | Yes | Jurisdictions where the breach has legal or financial impact |
detection_time_days | number | — | Time in days to detect the breach |
Parameters from the server's own tool schema.
Why sovereign_data_breach_impact is rated Low
This is a decision-support analytics tool. It takes hypothetical breach parameters as inputs and returns estimated financial consequences (direct costs, regulatory fines, reputational damage, insurance adjustments). No side effects occur: it does not execute a breach, transfer funds, modify breach records, delete data, or trigger actual payments. It serves to inform strategic planning by modeling scenarios.
From the tool's definition Tool 'estimates' and 'outputs' financial impact figures; it queries/analyzes data breach scenarios and returns cost projections, fines, and insurance adjustments.
Attacks that exploit this kind of access
The rule that runs sovereign_data_breach_impact safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sovereign_data_breach_impact, this is the rule to start with:
sovereign_data_breach_impact is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every sovereign_data_breach_impact call is checked against it from then on.
Questions about sovereign_data_breach_impact
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. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
sovereign_data_breach_impact accepts 5 parameters: async, industry, records_lost, jurisdictions, detection_time_days. Required: records_lost, jurisdictions. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for sovereign_data_breach_impact: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.
sovereign_data_breach_impact is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the sovereign_data_breach_impact rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for sovereign_data_breach_impact. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
sovereign_data_breach_impact is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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