Dismiss user risk in Identity Protection (mark as safe). Sets the user
AI agents use confirm_user_safe to create or update resources in Response MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Response MCP Server environment.
This tool modifies security state by changing a user's risk classification from compromised/unsafe to safe within Microsoft Defender's Identity Protection system. While reversible (can be undone), this is a consequential security configuration change that affects detection rules, alerts, and protective actions applied to that user.
From the tool's definition Tool description states it dismisses user risk in Identity Protection and marks a user as safe. This modifies the security status/risk state of a user account in a security system.
Documented attack patterns abuse exactly the kind of access confirm_user_safe gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Response MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for confirm_user_safe:
{
"version": "1",
"default": "deny",
"tools": {
"confirm_user_safe": {
"limits": [
{
"counter": "confirm_user_safe_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} confirm_user_safe 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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Dismiss user risk in Identity Protection (mark as safe). Sets the user. It is categorised as a Write tool in the Response MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Response MCP Server MCP server in PolicyLayer and add a rule for confirm_user_safe: 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 Response MCP Server. Nothing to install.
confirm_user_safe 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 confirm_user_safe 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 confirm_user_safe. 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.
confirm_user_safe is provided by the Response MCP Server MCP server (markolauren/responsemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Response 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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23 Response MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.