detach_group_policy
AI agents use detach_group_policy to create or update resources in AWS — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS environment.
Detaching a policy from a group modifies IAM permissions by removing a policy association. This is a reversible write operation (the policy can be re-attached), but has high severity because removing policies from groups can strip access controls from multiple users simultaneously, potentially creating security gaps or service disruptions.
From the tool's definition Tool name: 'detach_group_policy' — 'detach' implies removing a policy association from a group; description is empty and uninformative, lowering confidence.
Documented attack patterns abuse exactly the kind of access detach_group_policy 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 detach_group_policy:
{
"version": "1",
"default": "deny",
"tools": {
"detach_group_policy": {
"limits": [
{
"counter": "detach_group_policy_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}detach_group_policy stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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detach_group_policy. It is categorised as a Write tool in the AWS MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AWS MCP server in PolicyLayer and add a rule for detach_group_policy: 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.
detach_group_policy is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the detach_group_policy 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 detach_group_policy. 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.
detach_group_policy 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.