Low Risk

query_compliance

Query compliance mapping for an engagement's findings. Frameworks: pci_dss, hipaa, soc2, owasp, all Returns findings grouped by compliance control.

How to control query_compliance ↓

AI agents call query_compliance to retrieve information from Pentest Ai without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool retrieves and queries pre-existing compliance mapping data for an engagement. It does not create, modify, delete, or execute operations; it only reads and returns structured information about how findings relate to compliance frameworks (PCI-DSS, HIPAA, SOC2, OWASP). The blast radius of misuse is minimal — an attacker could only access existing compliance metadata, not alter findings or compliance controls.

From the tool's definition Tool description states 'Query compliance mapping' and 'Returns findings grouped by compliance control' — these are retrieval operations with no modification, deletion, or execution of external commands.

Documented attack patterns abuse exactly the kind of access query_compliance gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Pentest Ai, and nothing reaches the server without passing your rules. This is the rule we recommend for query_compliance:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "query_compliance": {}
  }
}

query_compliance is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Pentest Ai — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Go deeper

What does the query_compliance tool do? +

Query compliance mapping for an engagement's findings. Frameworks: pci_dss, hipaa, soc2, owasp, all Returns findings grouped by compliance control. It is categorised as a Read tool in the Pentest Ai MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on query_compliance? +

Register the Pentest Ai MCP server in PolicyLayer and add a rule for query_compliance: 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 Pentest Ai. Nothing to install.

What risk level is query_compliance? +

query_compliance is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit query_compliance? +

Yes. Add a rate_limit block to the query_compliance 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 query_compliance completely? +

Set action: deny in the PolicyLayer policy for query_compliance. 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 query_compliance? +

query_compliance is provided by the Pentest Ai MCP server (0xsteph/pentest-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pentest Ai tool call.

Deterministic rules across all 51 Pentest Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

51 Pentest Ai tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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