cyber_risk_auditor
Auditeur de risque cyber — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: Qonto — Audit cyber risque B2B FinTech · Score 58/100 → roadmap 90j · 8 findings critiques/high · économie prime -28%. Inputs are validated server-side — send the do...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/cyber-risk-auditor.md
What cyber_risk_auditor does on Mcp Knowledge
AI agents call cyber_risk_auditor 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 |
focus | string | — | |
company | object | Yes | |
techStack | object | Yes | |
currentPosture | object | Yes |
Parameters from the server's own tool schema.
Why cyber_risk_auditor is rated Low
The tool appears to conduct a cyber risk audit and return a structured deliverable (findings, score, roadmap). This is fundamentally a read/analysis operation — it queries, analyzes, and returns structured intelligence. It does not write data, execute code, delete anything, or move money.
From the tool's definition 'Auditeur de risque cyber' and 'Returns a structured, audited deliverable' — the tool performs analysis and returns a report/audit document
Risk signalsHigh parameter count (18 properties)
Attacks that exploit this kind of access
The rule that runs cyber_risk_auditor 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 cyber_risk_auditor, this is the rule to start with:
cyber_risk_auditor 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 cyber_risk_auditor call is checked against it from then on.
Questions about cyber_risk_auditor
Auditeur de risque cyber — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: Qonto — Audit cyber risque B2B FinTech · Score 58/100 → roadmap 90j · 8 findings critiques/high · économie prime -28%. Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
cyber_risk_auditor accepts 5 parameters: async, focus, company, techStack, currentPosture. Required: company, techStack, currentPosture. 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 cyber_risk_auditor: 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.
cyber_risk_auditor 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 cyber_risk_auditor 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 cyber_risk_auditor. 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.
cyber_risk_auditor 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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