Low Risk

get_threat_landscape

Get the current AI agent security threat landscape summary. Returns key statistics, active threats, and ecosystem intelligence gathered from Arc Security's ongoing monitoring of ClawHub, security research publications, and responsible disclosure activities.

Part of the Arc Security server.

get_threat_landscape is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_threat_landscape to retrieve information from Arc Security without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_threat_landscape only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_threat_landscape": {}
  }
}

See the full Arc Security policy for all 14 tools.

Get this rule live on your own Arc Security server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 14 tools →

These attack patterns abuse exactly the kind of access get_threat_landscape gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_threat_landscape only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_threat_landscape tool do? +

Get the current AI agent security threat landscape summary. Returns key statistics, active threats, and ecosystem intelligence gathered from Arc Security's ongoing monitoring of ClawHub, security research publications, and responsible disclosure activities.. It is categorised as a Read tool in the Arc Security MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_threat_landscape? +

Register the Arc Security MCP server in PolicyLayer and add a rule for get_threat_landscape: 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 Arc Security. Nothing to install.

What risk level is get_threat_landscape? +

get_threat_landscape is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_threat_landscape? +

Yes. Add a rate_limit block to the get_threat_landscape 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.

How do I block get_threat_landscape completely? +

Set action: deny in the PolicyLayer policy for get_threat_landscape. 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.

What MCP server provides get_threat_landscape? +

get_threat_landscape is provided by the Arc Security MCP server (arc-security-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Arc Security tool call.

Deterministic rules across all 14 Arc Security tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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