start_security_scan
AI agents invoke start_security_scan 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.
Security scanning is an external operation that triggers infrastructure scanning with effects dependent on configuration and scope. On AWS, security scans can examine resources, trigger API calls, and generate findings. This constitutes execution of a defined process rather than simple data retrieval. The high severity reflects that misconfigured scans could be noisy, resource-intensive, or expose sensitive findings.
From the tool's definition Tool name 'start_security_scan' indicates execution of a security scanning operation. The description is empty, limiting direct evidence.
Documented attack patterns abuse exactly the kind of access start_security_scan gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS, and nothing reaches the server without passing your rules. This is the rule we recommend for start_security_scan:
{
"version": "1",
"default": "deny",
"tools": {
"start_security_scan": {
"limits": [
{
"counter": "start_security_scan_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} start_security_scan 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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start_security_scan. 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 start_security_scan: 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.
start_security_scan 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 start_security_scan 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 start_security_scan. 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.
start_security_scan 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.
Start from AWS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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300 AWS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.