AI agents invoke run_checkov to trigger actions in AWS Labs Amazon Q Business anonymous mode MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Checkov is a security scanning framework that analyzes infrastructure code (Terraform, CloudFormation, etc.) and reports findings. Running it constitutes executing an external tool/analysis engine whose outputs and side effects depend on the scanned code and configuration. This is an Execute-category action.
From the tool's definition Tool name 'run_checkov' indicates execution of Checkov, an infrastructure-as-code security scanning tool. Checkov runs static analysis checks on cloud infrastructure code, which is a code execution operation with external effects.
Documented attack patterns abuse exactly the kind of access run_checkov gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs Amazon Q Business anonymous mode MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for run_checkov:
{
"version": "1",
"default": "deny",
"tools": {
"run_checkov": {
"limits": [
{
"counter": "run_checkov_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} run_checkov stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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run_checkov. It is categorised as a Execute tool in the AWS Labs Amazon Q Business anonymous mode MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Labs Amazon Q Business anonymous mode MCP Server MCP server in PolicyLayer and add a rule for run_checkov: 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 AWS Labs Amazon Q Business anonymous mode MCP Server. Nothing to install.
run_checkov is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_checkov 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 run_checkov. 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.
run_checkov is provided by the AWS Labs Amazon Q Business anonymous mode MCP Server MCP server (awslabs.amazon-qbusiness-anonymous-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Labs Amazon Q Business anonymous mode MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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805 AWS Labs Amazon Q Business anonymous mode MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.