This record as markdown: /tools/aws/run-checkov.md
What run_checkov does on AWS
AI agents invoke run_checkov to trigger actions in AWS. 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.
Why run_checkov is rated High
The tool invokes Checkov, which runs external security scanning operations with effects determined by supplied arguments (target paths, policies, cloud provider configs). This is Execute rather than Read because it actively processes and triggers security analysis workflows rather than simply retrieving data.
From the tool's definition Tool named 'run_checkov' on AWS server; Checkov is a static analysis and infrastructure-as-code security scanning tool that executes security checks and policy validation against cloud configurations and code.
Attacks that exploit this kind of access
The rule that runs run_checkov safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AWS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_checkov, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect AWS, apply this rule, and every run_checkov call is checked against it from then on.
Questions about run_checkov
run_checkov is a execute tool on the AWS MCP server. It is categorised as a Execute tool in the AWS MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS 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. 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 MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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