Medium Risk

ai_act_incident_response

Generates EU AI Act incident response playbooks with regulator notification templates for risk management teams. Inputs include incident severity, AI system type, and affected stakeholders. Outputs structured playbook steps, regulator notification drafts, and compliance checklists. Essential for ...

Part of the Gapup Mcp server.

ai_act_incident_response can modify Gapup Mcp data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use ai_act_incident_response to create or modify resources in Gapup Mcp. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call ai_act_incident_response repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Gapup Mcp.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_act_incident_response": {
      "limits": [
        {
          "counter": "ai_act_incident_response_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access ai_act_incident_response gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so ai_act_incident_response only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the ai_act_incident_response tool do? +

Generates EU AI Act incident response playbooks with regulator notification templates for risk management teams. Inputs include incident severity, AI system type, and affected stakeholders. Outputs structured playbook steps, regulator notification drafts, and compliance checklists. Essential for high-risk AI system breaches requiring formal EU notification — pass async:true REQUIRED to avoid x402 timeout. Keywords: AI Act compliance, incident response, regulator notification, risk management, ISO 27035, NIST SP 800-61.. It is categorised as a Write tool in the Gapup Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ai_act_incident_response? +

Register the Gapup MCP server in PolicyLayer and add a rule for ai_act_incident_response: 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 Gapup Mcp. Nothing to install.

What risk level is ai_act_incident_response? +

ai_act_incident_response is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit ai_act_incident_response? +

Yes. Add a rate_limit block to the ai_act_incident_response 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.

How do I block ai_act_incident_response completely? +

Set action: deny in the PolicyLayer policy for ai_act_incident_response. 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.

What MCP server provides ai_act_incident_response? +

ai_act_incident_response is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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